disc 2015 program book 1102

• Welcome Message . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 05

• About DISC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 06

• Program at a Glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

• Keynote Speeches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

• Poster Session . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

• Recorded Presentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63

• Round Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

• Panel Discussion 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91

• Panel Discussion 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101





• Memo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162

Contents

5

October 29-31, 2015. Hotel Susung & Daegu Gyeongbuk Development Institute

Welcome Message

Dear DISC Members,I am Han Woo Park, the President of the World Association for Triple Helix & Future Strategy Studies. I would like to sincerely invite and welcome keynote speakers, presenters and participants for 2015 Daegu Gyeongbuk International Social Network Conference (DISC). We are greatly honored to have several Distinguished Social network Scholars with us as well. They are very productive scholars around world. This is such a precious and memorable moment for us because your visit to our city, Daegu is at the juncture of our society’s launching the new scholarly age. There is no doubt that 2015 DISC will be the milestone for Big Data and Social Network field here in Daegu. I hope you feel comfortable and wish you had and unforgettable time at the upcoming conference. Thank you.

Full Professor Pr. Han Woo PARK,

BA-HUFS, MA-Seoul Nat’l Univ. PhD-SUNY BuffaloThe Chairman of DISC 2015

The President of World Association for Triple Helix & Future Strategy Studies

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About DISC

DISC(Daegu Gyeongbuk International Social Network Conference) was founded in February 2013 in Daegu, South Korea. DISC and other events are always organized in collaboration with glocal academic, private sector and public sector partners.

DISC (Daegu Gyeongbuk International Social Network Conference) has rapidly become the Asian Hub conference on big-data and socio-innovation network area. DISC is aimed at pursuing the continuous scholarly growth and building the university-industry-government relations.

Furthermore, this international conference of Daegu expects local development in a wide range of areas in humanities/social sciences and their neighboring natural/engineering areas. The 2nd DISC was successfully held in 2014 hosting more than 250 participants.

The DISC in 2013 and 2014 have produced several special issues, published by Quantity & Quality, Technological Forecasting and Social Change and Journal of Contemporary Eastern Asia.

This year’s DISC is going to be held from October 29th to 31th in the historic Korean city of Daegu. The conference theme is on big data and network-based future strategies.

We are inviting renowned scholars from all over the world. In addition, this year’s DISC will feature the 2nd Korea- China Symposium on Big Data.

This is WATEF’s strategic step to reach out to the Chinese scientific community, which is becoming increasingly visible with China’s uprising political and economic power.

With the rising profile of DISC on the global stage, as the organizer, we are hoping to expand our reach and support network.

Therefore, I, along with my colleague at WATEF, sincerely invite you to consider attending DISC2015.

The scope and aims of the Daegu Gyeongbuk International Social Network Conference 2015 (DISC2015) are endorsed by INSNA (International Network for Social Network Analysis).

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DISC 2015 Overview

DISC 2014 Overview

ThemeMain theme: Social Network >> Big Data >> Future Forecasting >> Collaboration!Special Theme: The 2nd Korea-China Big Data Conference on Research and Applications(제2회 한·중 빅데이터 컨퍼런스)

Dates October 29(Thu) – 31(Sat), 2015

VenueHotel Susung, Daegu, Republic of KOREA, Daegu Gyeongbuk Development Institute, Daegu, Republic of KOREA (호텔수성, 대구경북연구원)

Organized by

World Association For Triple Helix & Future Strategy Studies(세계트리플헬릭스미래전략학회), Y.U. Cyber Emotions Research Center(영남대학교 사이버감성연구소), Y.U. BK21 Plus Project Team for “Global East Asian Cultural Contents”(BK21플러스 글로컬동아시아문화콘텐츠 사업단), Korea Institute Science and Technology Information(KISTI)(한국과학기술정보연구원), Gyeongbuk Techno Park(경북테크노파크), Korea Research Institute of Bioscience & Biotechnology(한국생명공학연구원)

Sponsored by

Korea Tourism Organization(한국관광공사), Daegu Convention & Visitors Bureau(대구컨벤션관광뷰로), The IMC(더아이엠씨), APISA, ARS PRAXIA, TBC Culture Foundation(TBC 문화재단), Gyeongsangbuk-Do(경상북도), Social media research foundation, Rayworld(레이월드), INSNA(International Network for Social Network Analysis), Journal of Contemporary Eastern Asia (JCEA), International Academy of Social Sciences(IASS), Mice Industry Research Institute(마이스산업연구원), Daegu-Gyeongbuk Free Economic Zone Authority(대구경북경제자유구역청), Korea Appraisal Board(한국감정원), Institute for Socio Technical Complex Systems(ISTCS), Daegu Gyeongbuk Development Institute(대구경북연구원), HankookAD(한국애드)

Website http://www.watef.org

Theme Data as Social Culture : Networked Innovation and Government 3.0Dates December 11(Thu.) ~ 13(Sat.), 2014Venue Eldis Regent Hotel, Daegu, Korea / YeungNam Univ. (13th)

Organized by

- Asia Triple Helix Society- Y.U. Cyber Emotions Research Center- Y.U. BK21 Plus Project Team for “Glocal East Asian Cultural Contents”- Korea Institute Science and Technology Information (KISTI)

Sponsored by

Korea Tourism Organization, Daegu Convention & Visitors Bureau, Korea Culture & Tourism Institute(KCTI), The IMC, POSTECH, TREUM, ACADEMIC EBOOK CORPORATION (ACADEPIA), Culture Plex, South-EastAsia Creative Economy Forum, Inside Solution, Dapoomeun Yukgaejang, Young IL Engineering, The Yeongnamilbo, The Maeil Shinmun, TBC, Daegu Gyeongbuk Media Club

Website Asia Triple Helix Society (ATHS): http://asia-triplehelix.org

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DISC 2013 OverviewTheme Knowledge Network Analysis in the Emerging Big Data Research

Dates 12(Thursday) to 14(Saturday) December. 2013

Venue Prince Hotel (12 - 13, December), Daegu Digital Industry promotion Agency(14, December)

Organized byThe Asia Triple Helix Society, Daegu Digital Industry promotion Agency, Daegu Gyeongbuk Development Institute, CyberEmotions Research Center of YeungNam University, Daegu Gyeongbuk Social Media Forum

Sponsored byDaegu Convention and Visitors Bureau, The IMC, Treum, POSTECH, KAIST, Korea Tourism Organization

Website Asia Triple Helix Society (ATHS): http://asia-triplehelix.org

DISC 2015 SNSDISC 2015 Facebook : https://www.facebook.com/disckoreaDISC 2015 Hashtag : #disc#daegu #disc2015 #SNA #WATEF #Bigdata

DISC 2014 SNS

DISC 2014 Facebook : https://www.facebook.com/disckoreaDISC 2014 Twitter : https://twitter.com/DISC2014DISC 2014 Hashtag : #disc @discDISC 2014 Wordpress : disckorea.wordpress.comDISC 2014 App. : https://guidebook.com/g/disc2014

• DISC 2015 SNS

• DISC 2014 SNS

• DISC 2015 Papers - 38papers from 10 countries

• DISC 2014 Papers - 63 papers from 13 countries

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• DISC 2015 The IMC Awardee



Author Title Co-Author

The 1st placeKyujin Jung(Tennessee State University, USA)

Structural Effects of Interorganizational Collaboration Network on Disaster Resilience

-

The 2nd placeHarald Meier(Digital Space Lab, Germany)

Global Civil Society from Hyperlink Perspective: Exploring the Online Networks of International NGOs

-

The 3rd placeSae OKURA(University of Tsukuba, Japan)

Analysis of the Policy Network for the “Feed in Tariff Law” in Japan: Evidence from the GEPON Survey

Leslie TKACH-KAWASAKI (University of Tsukuba, Japan)Yohei KOBASHI(Waseda University, Japan)Manuela HARTWIG(Free University of Berlin)Yutaka TSUJINAKA (University of Tsukuba)


The 1st place Wayne Weiai Xu(SUNY-Buffalo, U.S.A)

The Networked Creativity in the Censored Web 2.0

Miao Feng(Univ. of Illinois at Chicago, U.S.A)

The 3rd place

Daegon Cho(조대곤)(POSTECH, Korea)

An Empirical Analysis onSmartphone Diffusions -

Marko M. Skoric(City Univ. of Hong Kong, Hong Kong S.A.R.)

The Role of Social Network Sites and Mobile Phones in Promoting the Acquisition of Job-related Information, Job Mobility and Entrepreneurship

Ji Pan (Nan yang Technological Univ., Singapore)Wayne Fu (Nan yang Technological Univ., Singapore)Clarice Sim (Nan yang Technological Univ., Singapore)Yong Jin Park (Howard Univ., USA)


The 1st placeKe Jiang(University of California, Davis)

International Student Flows from a Macro Perspective : A Network Analysis

-

The 2nd place

Kyujin Jung(University of North Texas)

Who Leads Nonprofit Advo cacy Through Social Media :S o m e E v i d e n c e f r o o m t h e Australian marine Conservation Society’s Twitter Networks

Won No (Arizona State University)Ji Won Kim (University of Texas at Austin)

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• The list of participants for 2 consecutive years :

• DISC 2015 Youth Convention Members :



• DISC 2015 Certificate of Appreciation :



Han Woo Park, Leslie M. Tkach-Kawasaki, Jana Diesner, Pieter E. Stek, Meeyoung Cha, Jang Hyun Kim, Minho So, INYONG NAM, INHO CHO, Xanat Vargas Meza, Yon Soo Lim, Shin-Il Moon, Kyujin Jung, Chung Joo Chung, Sungkyu Shaun Park, Woo-Sung Jung, HeyJeong An, kijun son, Chae Nam Jeon, Wayne Weiai Xu, Ke Jiang, Leo Kim, Seong Eun Cho, Min-Woo Ahn, Hye-Jin Park, jiwon Park, Daehyeon Nam, Kim In Yeob, Jiyoung Park, Hwang Sungsoo, Fred Phillips

Ji Eun Kang, Seung Dong Lee, Su Min Bae, Seok Joo Jeong, Ji Hyun Lee, Gwang Min Park

Na-Yeong Oh, Ye-eun Kang , Kyum-myung Kwak, Yeo-eun Kee , Sung-min Hong, In-sung Hwang

Ji youn No, Young hoon Kim, Da young Sung, So Yun Choi, Hye lim Kim

Min Ho So, Mi Kyung Lee, Marina van Geenhuizen, Fred Phillips, Pieter E. Stek, Daehyeon Nam

Leslie M. Tkach-Kawasaki, Hee Yoon Choi, Mee Young Cha, Jana Diesner, Woo-Sung Jung, Yoon Jae Nam, Daegu Convention & Visitors Bureau, DEXCO

George Barnett, Hee Dae Kim, Jang Hyun Kim, Vladimir Batgelj, The IMC, Treum Company

• The list of participants for 3 consecutive years :

Han Woo Park, Leslie M. Tkach-Kawasaki, Pieter E. Stek, Jang Hyun Kim, Minho So, Kyujin Jung, Chung Joo Chung, Woo-Sung Jung, kijun son, Chae Nam Jeon, Wayne Weiai Xu, Ke Jiang, Leo Kim, Daehyeon Nam, Jiyoung Park, Fred Phillips

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Program at a GlanceTHEME : Social Network >> Big Data >> Future forecasting >> Collaboration

Date Day1(10/29) Thursday Day2(10/30) FridayDay3(10/31)

Saturday

Time Sky Hall Honeymoon Hall Sky Hall Honeymoon HallDaegu Gyeongbuk

Development Institute

09:00-17:00 Registration (13:00 OPEN) Registration Registration

09:00-09:20

Pre - Conference Tour

Opening Session

WorkshopⅠ

Textom MiningAnalysis

Dr. Kim Chan Woo

09:20-09:40 The 2ndKorea-China

Big Data Conference Keynote Speech

Keynote Speech1

Leo Kim09:40-10:00

10:00-10:20 The 2ndKorea-China

Big Data Conference

1. KRIBB(Korea Research Institute of Bioscienceand Biotechnology)

Session

10:20-10:40 Coffee & Tea Break

10:40-11:00

Panel Discussion4Triple Helix Approaches

11:00-11:20

11:20-11:40

11:40-12:00

12:00-13:00 Luncheon

13:00-13:20 Registration

The 2ndKorea-China

Big Data Conference

2. KADS(Korean Association

of Data Science) Session

Keynote Speech2

MarinavanGeenhuizen Workshop2

Social Network Analysis

(NodeXL)

Marc Smith

13:20-13:40 RecordedPresentation

Poster Session

13:40-14:00

14:00-14:20Panel Discussion1

Open Big Data& Government3.0

Panel Discussion 5 Scientometrics &

Semantic Network Analysis

14:20-14:40

14:40-15:00

15:00-15:20

15:20-15:40 Coffee & Tea Break Coffee & Tea Break

15:40-16:00 Round TableTriple Future

Talk Series

PosterSession Panel Discussion6

Media & Future Society

16:00-16:20The 2nd

Korea-ChinaBig Data

Conference

3. WATEF SessionPost-Conference

Visit(Optional)

16:20-16:40

Panel Discussion2 Policy & Network

Analysis

Panel Discussion3Disaster, Crisis,

Organizations, & Social Network

Analysis

16:40-17:00

17:00-17:20

General Assembly17:20-17:40

17:40-18:00

18:00~Icebreaking Party

(Wine reception type)

Gala Dinner(The IMC Award, WATEF Prize, Closing

Ceremony)

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Conference Program 29 – 30 October, 2015 / Hotel Susung Keynote Speeches

Poster Session

Recorded Presentation

Round Table. Triple future talk series

Topic No. Speaker Affiliation Title

Keynote Speech1 1 Leo Kim Ars PraxiaFlattening reflections on social categories: data

visualization and critical social analysis

Keynote Speech2 2Marina van Geenhuizen

Delft University of Technology

Living labs as boundary spanners between knowledge flows: in search of critical performance factors'

Topic No. Panels Affiliation Title

Poster Session

1 Jongtaik Lee KISTICore technology and industry trend of probiotics under the system

with massive and worldwide social and environmental changes

2 Jongtaik Lee KISTIMarket growth potential analysis deciding to

enter LED lens compound market

3 Jongtaik Lee KISTICurrent competitive state analysis out of various data

regarding foreign and domestic markets in animal additive industry

4

Pan PanUniversity of Science and

Technology of ChinaFrom Research to Industry:

Chinese SemanticNetwork Analysis of Technological Achievements Transformation

Junfei YangUniversity of Science and

Technology of China

Ke JiangUniversity of

California, Davis

5Young Hoon

LeeKEIT Within and across regional innovation system:

measuring the dynamics of regional innovation systems in KoreaYoungJun Kim Korea University

6

Heewon Cha Ewha Womans University

An Analysis of Korea Brand and Korean Wave Using Big DataYunna Rhee

Hankuk University ofForeign Studies

Chung Joo Chung

Kyungpook National University


RecordedPresentation

1Otto F. von Feigenblatt

Carlos Albizu University Racial Relations in the United States: A System in Flux


Round Table.Triple future

talk series

Moderator: Ke Jiang(University of California)Respondent : Marc Smith(Connected Action Consulting Group),Leslie Tkach-Kawasaki(University of Tsukuba), Weiai Wayne Xu(Northeastern University)

1Fred Philips Yuan Ze University Key Ideas from a 25-Year Collaboration at

Technological Forecasting & Social ChangeHal Linstone Portland State University

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[DAY 1] October 29(Thu), 2015 / Hotel Susung


Panel 1.Open Big Data & Government3.0

Chair: IckKeun Oh(Keimyung University)Discussants : JangHyun Kim(Sungkyunkwan University), Kyu Jin Jung(TennesseeState University), HoYoung Yoon(University of Wisconsin-Madison)

1Hyungwang Shin Yeungnam University Ego Network Analysis of United States

Healthcare Open-Data CompaniesHan Woo Park Yeungnam University

2Srijana Acharya Yeungnam University Webometric Analysis of the Current

pen Data Trends in NepalHan Woo Park Yeungnam University

3A-Reum Jang Yeungnam University Webometric Analysis of Open Data 500

Companies in the United States:A Case of Lifestyle and Consumer CategoryHan Woo Park Yeungnam University

4Miao Feng University of Illinois at

Chicago Saying, Searching, and Selling:Electronic Cigarettes on Social Media in China

Weiai Wayne Xu Northeastern University


Panel 2.Policy & Network

Analysis

Chair : JaeHwan Park(Middlesex University)Discussants : ChungJoo Chung(Kyungpook National University), Ping Zhou(Zhejiang University), Yoon Jae Nam(Kyunghee University)

1

Sae Okura University of Tsukuba

Analysis of the Policy Network for the “Feed in Tariff Law” in Japan:

Evidence from the GEPON Survey

Leslie Tkach-Kawasaki University of Tsukuba

Yohei Kobashi Waseda University

Manuela Hartwig Free University of Berlin

Yutaka Tsujinaka University of Tsukuba

2

Minju Yoo Sungkyunkwan University How Do Korean TelecommunicationGiants Manage and Perceive the Internet of

Things (IoT) through Social Mediaand Commercial Videos?Jang Hyun Kim Sungkyunkwan University

3Kang-Nyeon Lee Sungkyunkwan University Semantic Network Analysis of Debates

on Net Neutrality in Cyber SpaceJang Hyun Kim Sungkyunkwan University

4

Jiyoung Park Yeungnam University How does fractional counting affectthe structure of collaboration networks?

A case of publications indexed in 2013 SSCIand A&HCI on East Asia

Loet Leydesdorff University of Amsterdam

Han Woo Park Yeungnam University

5

In Ho Cho Data & Beyond

Participation in Facebook groups:How differently do we engage with group

members?

Kwang-Taek Roh Kyungil University

Ki Jun Son The IMC

JI Young Kim Yeungnam University


14


Panel 3.Disaster, Crisis,

Organizations, & Social Network

Analysis

Chair : Marc Smith(Connected Action Consulting Group)Discussants : Ke Jiang(University of California, Davis), Weiai Wayne Xu (Northeastern University)

1 Kyujin JungTennessee State

UniversityStructural Effects of Interorganizational

Collaboration Network on Disaster Resilience

2 Ho Young YoonUniversity of

Wisconsin-MadisonIf it had informed: (Un)openness of contagious

MERS disease information

3 Harald Meier Digital Space LabGlobal Civil Society from Hyperlink Perspective:

Exploring the Online Networks of International NGOs

4 Kyujin JungTennessee State

University Why so serious?: Stakeholders and bystanders of the

Volkswagen scandal on Facebook

[DAY 2] October 30(Fri), 2015 / Hotel Susung


Panel 4.TripleHelix

Approaches

Chair : Fred Philips(YuanZe University)Discussants : Leslie Tkach-Kawasaki(University of Tsukuba),

Marc Smith (Connected Action Consulting Group)

1Ping Zhou Zhejiang University

A comparative study of university-industry collaborations in China and the USARobert Tijssen Leiden University

Loet Leydesdorff University of Amsterdam

2

Jae-Hwan Park Middlesex University The Caching-Up Patterns of China-based Pharmaceutical Industry:

Is it a Catching-up Trend in the Collaborative Research Activities?

Jee-Yeon Choi University of Cambridge

Jinseok Kim University of Illinois at Urbana-Champaign

3

Jungwon Yoon Sogang University Development Patterns and Trends in theTriple Helix Dynamics of the South Korea’s

Innovation System:Based on the Collaboration Network Analysis

Joshua Sung woo Yang Yonsei University


4Woo-Sung Jung

POSTECH Complex network analysis on researchactivity of public research institutionHyeonchae Yang


Panel 5.Scientometrics &

SemanticNetworkAnalysis

Chair: Leo Kim (Ars Praxia)Discussants : Damien Spry (The University of Sydney), Jae Hwan Park (Middlesex University)

1 Pieter E. Stek Delft University of Technology

The Influence of International Knowledge Networks on the Innovation Performance of Medical Devices Clusters:

A Bibliometrics Approach

2Youngim Jung KISTI

Detecting Emerging Research Topics byUtilizing Novel Big DataSeonheui Choi KISTI

Jin-seop Shin KISTI

3Gabjin Oh Chosun University

Patent Network Analysis Based on CitationHo Yong Kim Chosun University

4Jiang Li ZhejiangUniversity

A vector for identifying “sleeping beauties” and“flashes in the pan” in scienceChao Min Nanjing University

Jianjun Sun Nanjing University

5 Jean-Charles Lamirel

University of Strasbourg

Exploring the dynamics of scientific collections usinga new combination of approaches mixing graph

representation and feature selection

15



Panel 6.Media & FutureSociety

Chair : Weiai Wayne Xu(Northeastern University)Discussants : GabJin Oh(Chosun University), Pieter E. Stek(Delft University of Technology)

1Damien Spry The University of Sydney A big data approach to news analysis –

Australia in Korean online news reportingTimothy Dwyer The University of Sydney

2Ke Jiang University of California, Davis 20Years News Frames of Media Coverage of

Peace In the United States and China :ASemantic Network AnalysisGeorge A. Barnett University of California, Davis

3 Sujin Choi Kookmin UniversityAudience polarization in actuality:

Explaining TV viewing pattern from networkanalytic approach

4 Sungjoon Lee Cheongju University A Rethink on Media Users in the context ofWeb 2.0: A Case of Social Media

5Karen Yooshim Huh Google Korea (Previously) The rise of MCN(Multi Channel Networks) :

The coming of the new digitalbroadcasting ecosystem? Han Woo Park Yeungnam University

DISC 2015 Gala Dinner (만찬)

Workshop Program October 31(Sat), 2015 / Daegu Gyeongbuk Development Institute

1. Date : October 30(Friday), 2015, 18:002. Venue : Hotel Susung, Sky Hall (Address: 106-7, Yonghak-ro, Suseong-gu, Daegu, Korea)

TEL. 1899-10013. Contents : The IMC Award, WATEF Prize, Closing Ceremony4. Time Table

Time Contents Remark18:00~18:05

Opening CeremonyVIP

18:05~18:10 VIP

18:10~18:15VIP Photo Time

18:15~18:20

18:20~18:50 The IMC Award, WATEF Prize

18:50~20:50 Gala Dinner & Performance- Fusion Korean Traditional Performing Arts

- Vocal Music

20:50~21:00 Closing Ceremony President Han Woo Park

Workshop topic Time Organizers Language

Workshop1 - Textom Mining Analysis 09:00 - 12:00 Dr. Kim Chan Woo

The IMC Korean

Workshop2 - Social Network Analysis(Node XL) 13:00 - 16:00 Marc Smith

Connected Action Consulting Group English

Keynote Speeches

2nd day October 30 (Friday) / Honeymoon Hall, Susung Hotel

09:20 - 10:20 Flattening reflections on social categories: data visualization and critical social analysis

Leo Kim, (CEO of Ars Praxia)

13:00 - 14:00 Living Labs as boundary-spanners between Triple Helix actors

Marina van Geenhuizen, (Professor of Innovation and Innovation Policy, Faculty of Technology, Policy and Management, TU Delft, The Netherlands)

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Keynote Speaker 1

Leo Kim

Leo Kim is the CEO of Ars Praxia, a consulting company that specializes in social network and semantic network analysis. His research interests lie at the interaction of actors, strategies, narratives, and knowledge, especially in the public sphere of science and in developing the method of semantic network analysis and big data processing for pragmatic applications. He has also published articles related to these topics in a number of international journals.

19


Flattening reflections on social categories:data visualization and critical social analysis

Leo KimCEO of Ars Praxia, South Korea

E-mail : [email protected]

Abstract

The agenda of social integration draws both significant attentions and concerns in South Korea. However, the rise of cultural ultra-rights, exacerbating conflicts among government, industry and labour reflect some impasses in social integration. Existing sociological categories turn out to be vulnerable to identify and explain core concerns of actors that are not confined by existing category of class or political ideology. A network approach to represent both convergent and divergent concepts and variables across actors turn out to be crucial. This presentation reviews Bruno Latour’s recent discussion of Gabriel Tard’s revitalized perspective and the relevance of new data representation, and shows how it could be put forward by Ars Praxia’s approach of data analysis and visualization tools.

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Memo

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Keynote Speaker 2

Marina van Geenhuizen(Professor of Innovation and Innovation Policy, Faculty of Technology, Policy and Management, TU Delft, The Netherlands)

Dr. Marina van Geenhuizen is full professor in Innovation and Innovation Policy in Urban Economies in the

Faculty of Technology, Policy and Management at Delft University of Technology, The Netherlands, since 2007.

Her work in the past years deals with theory and practice of utilization of university knowledge and Triple

Helix issues, through business collaboration, spin-off firms’ growth, and Living labs, mainly in subject matter

of sustainable energy sources, transformation in the healthcare sector and ICT. Her research is also partly

on challenges of urban economic growth, the knowledge economy and the policymaking concerned. She

is (co)author of about 75 papers on these issues in refereed English journals, among others Technovation,

Technological Forecasting & Social Change and Environment and Planning C, and she is principal editor of

seven international volumes, with two volumes currently as ‘work in progress’. In addition, she acts as reviewer

for the Netherlands Organization for Scientific Research for five years, and has been member of various local

and national advisory boards on innovation and urban development.

Stek, P. and Geenhuizen, M. van (2015) The Influence of International Research Interaction on National

Innovation Performance: A Bibliometric Approach, Technological Forecasting and Social Change (forthcoming).

- Soetanto, D.P. and Geenhuizen, M. van (2015) Getting the right balance: university networks’ influence on

spin-offs’ attraction of funding for innovation, Technovation, 36/47, 26-38.

- Geenhuizen, M. van, S. Filippov and B. Enserink (2015) Cost Reduction as Major Driver in Traditional

Technology Business: Will Outsourcing Come to an End? Journal of Enterprise Transformation, 5 (1) 30-51.

- Geenhuizen, M. van, and Ye, Q. (2014) Responsible innovators: open networks on the way to sustainability

transitions, Technological Forecasting & Social Change, Sept. 2014, 28-40.

- Geenhuizen, M. van (2013) From Ivory Tower to Living Lab. Accelerating the Use of University Knowledge.

Environment & Planning C (Government & Policy), 31, 1115-1132.

- Geenhuizen, M. and D. Soetanto (2013) Benefit from Learning Networks in ‘Open Innovation’: Spin-off Firms in

Contrasting Regions, European Planning Studies, 21, 666-682.

- Geenhuizen, M. van, Schoonman, J. and A. Reijnders (2013) Diffusion of Solar Energy Use in Built Environment

and New Design, Canadian Journal of Civil Engineering, 8, 253-260.

Selected articles (reviewed):

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Living Labs as boundary-spanners between Triple `Helix actors

Marina van GeenhuizenProfessor of Innovation and Innovation Policy

Faculty of Technology, Policy and ManagementTU Delft, The Netherlands


Abstract

Living labs are an increasingly popular tool to enhance innovation. Many universities, companies and cities in Europe are involved in Living labs to benefit from the input of user groups. Living labs are conceived in this lecture as real-life environments (physical places) that include a network of stakeholders, specifically a strong involvement of user-groups in co-creation activities aimed at increasing user-value. Derived from the literature and four in-depth case studies of Living labs in healthcare in Northwest Europe and Canada, a set of critical factors will be presented. We mention as examples 1) an adequate user-group selection and involvement, specifically a rich interaction and absorption of the results in the innovation process, and 2) a balanced involvement of relevant stakeholders in terms of power, commitment and differentiation in roles. In the healthcare sector, people-oriented Living labs differ from institution-oriented Living labs regarding these critical factors. In addition, universities may take on different roles, in terms of strength of involvement, domains and management tasks.

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Poster Session

1st day October 29 (Thursday) / Honeymoon Hall, Susung Hotel

13:20 - 16:20 1 Core technology and industry trend of probiotics under the system with massive and worldwide social and environmental changes

Jongtaik Lee, (KISTI, South Korea)

2 Market growth potential analysis deciding to enter LED lens compound market


3 Current competitive state analysis out of various data regarding foreign and domestic markets in animal additive industry


4 From Research to Industry : Chinese Semantic Network Analysis of Technological Achievements Transformation

Pan Pan (University of Science and Technology of China)Junfei Yang (University of Science and Technology of China)Ke Jiang (University of California, Davis)

5 Within and across regional innovation system: measuring the dynamics of regional innovation systems in Korea

Young Hoon Lee (KEIT, South Korea)YoungJun Kim (Korea University, South Korea)

6 An Analysis of Korea Brand and Korean Wave Using Big Data

Heewon Cha (Ewha Womans University, South Korea)Yunna Rhee (Hankuk University of Foreign Studies, South Korea)Chung Joo Chung (Kyungpook National University, South Korea)

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Poster 1

Jongtaik Lee(KISTI, South Korea)

- Purdue University, West Lafayette, IN (August 1998 – January 2003) Ph. D., Inorganic Chemistry

- Sogang University, Seoul, Korea (February 1992 – February 1997) B. Sc., Chemistry (major); English and English literature (minor)

- Korea Institute of Science and Technology Information (March 2010 – Present) - Senior Researcher Industry Information AnalysisFocus on research and analysis of industry, market and technologyEvaluation of new technology and commercializationR&D-support projects for SMEsAppraisal and modeling research of technology valuationSearching for newly emerging items for technology commercialization

- LG Chem Research Park (August 2004 – February 2010) Nano Material/Electronic Material-related Research Focused on conductive nanoparticle synthesis and its application to conductive ink or paste.

- Michigan State University (February 2003 – May 2004) Post-Doctorate Research AssociateFocused on Iridium-based catalysts for arene borylations, diborations of olefins and their suzuki coupling reactions, inventing new catalytic transformations and investigating mechanistic features that dictate selectivity.

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Core technology and industry trend of probiotics under the system with massive and worldwide social and environmental changes

Jongtaik LeeKorea Institute of Science and Technology Information, South Korea


Abstract

Probiotics are microorganism(live bacteria and yeasts) that are good for your health, especially your digestive system. Bacteria should show a beneficial effect on the body by surviving in stomach acid and bile acid, reaching, growing and settling in intestines. In addition, it must be non-toxic and apathogenic.Three main effects of probiotics are metabolism activation, intestinal regulation, and immune modulation. Metabolism activation leads to lessening colorectal cancer occurrence, decreasing cholesterol and lactose intolerance. Intestinal regulation improvement means that autoimmune system strengthens and food allergy or inflammatory bowel disease get moderate. Irritable bowel syndrome and pathogenic microorganism are suppressed by increasing lactose tolerance. Recently, range of probiotics industry is expanded to prebiotics helping improving effect of viable cells, or dead bacteria-related products to show health improvement. More and more, not only health supplement products, but also cosmetic industry, medicine industry, and livestock industry are getting involved with probiotics. Due to these effective impacts, probiotics industry is expected to show high growth even though general health functional food market seems stagnant. The main technology competitiveness is reinforcement of reaching and surviving ability of viable cells to intestines by coating, prebiotics, and refrigeration technologies.

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Poster 2




- Korea Institute of Science and Technology Information (March 2010 – Present) - Senior Researcher Industry Information Analysis Focus on research and analysis of industry, market and technologyEvaluation of new technology and commercializationR&D-support projects for SMEsAppraisal and modeling research of technology valuationSearching for newly emerging items for technology commercialization

- LG Chem Research Park (August 2004 – February 2010) Nano Material/Electronic Material-related ResearchFocused on conductive nanoparticle synthesis and its application to conductive ink or paste.

- Michigan State University (February 2003 – May 2004)Post-Doctorate Research AssociateFocused on Iridium-based catalysts for arene borylations, diborations of olefins and their suzuki coupling reactions, inventing new catalytic transformations and investigating mechanistic features that dictate selectivity.

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Market growth potential analysisdeciding to enter LED lens compound market

Jongtaik LeeKorea Institute of Science and Technology Information, South Korea


Abstract

LED lens compound is used for LED lighting chip packaging cap. Its main role is to protect the inner part and to disperse light brightly. It should not be deteriorated under the long-term high temperature. In order to have mechanical strength, epoxy resin as a LED lens should have high purity with a minimal amount of chlorine. Among LED-related markets, LED lighting field is expected to show the most significant growth since a number of countries try to reduce energy consumption and to have eco-environmental regulation, and the prices of LED lighting keep decreasing. LED lighting world markets are forecast to reach 160.3 billion US dollars in 2017 from 69.4 billion US dollars in 2012 with 17.3% CAGR(compound annual growth rate). So far, LCD BLU and lightings for auto vehicles have been the main portion of the market, but general lighting market is expected to grow bigger than other fields. The revenue for lighting among LED businesses of major LED companies gets to increase. The market size of LED lens is forecast to reach 2.11 billion US dollars in 2016 from 1.02 billion US dollars in 2012 with 20.8% CAGR. In case of silcon materials, Dow Corning has released 5 new products of next generation LED encapsulants with various hardness. The major LED element companies are Nichia, Toyota Kosei, Philips Lumileds, Cree, Osram, which lead the LED market. LED packaging industry is lead by Nichia, Osram, Cree, Toyota Kosei, and philips Lumileds. Nippon Light and OPT are the major companies in LED BLU. Cree has tried to expand their business models to LED lighting finished products from LED packaging. The revenue for Lighting business of Philips has been increasing compared to other parts in Philips, especially industrial light business.

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Poster 3




- Korea Institute of Science and Technology Information (March 2010 – Present) - Senior Researcher Industry Information Analysis Focus on research and analysis of industry, market and technologyEvaluation of new technology and commercializationR&D-support projects for SMEsAppraisal and modeling research of technology valuationSearching for newly emerging items for technology commercialization

- LG Chem Research Park (August 2004 – February 2010) Nano Material/Electronic Material-related ResearchFocused on conductive nanoparticle synthesis and its application to conductive ink or paste.

- Michigan State University (February 2003 – May 2004)Post-Doctorate Research AssociateFocused on Iridium-based catalysts for arene borylations, diborations of olefins and their suzuki coupling reactions, inventing new catalytic transformations and investigating mechanistic features that dictate selectivity.

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Current competitive state analysis out of various data regarding foreign and domestic markets in animal additive industry

Jongtaik LeeKorea Institute of Science and Technology Information, Seoul, Korea


Abstract

Animal functional food world markets are forecast to reach 17.3 billion US dollars in 2019 from 11.7 billion US dollars in 2011 with 5.1% CAGR(compound annual growth rate). The leading global consumption market is US(45.6%) and the next is Europe(40.4%). For functional food for submerged cultivation or pets, North America and Europe is expected to grow faster than Asia-Pacific. But in Asia-Pacific region is expected to show continuos growth due to income level growth and increasing meat consumption. More than 70% of animal functional food consists of pig/chicken(73.4%), and the next is cow(19.2%). In pet-related market, feed additive has 31% market share in US and 38% market share in Japan.The top 3 major companies occupies about 30% market share : Novus International, Evonik Industries, and Adisseo/China National Bluestar Co. Ltd. Companies in Europe and US are mostly major ones, but there are newly emerging companies in Asia-Pacific. Archer Daniel Midland Company, BASF, Nutreco Holding N.V., Royal DSM N. V. are another major ones. Major pet-feed additive companies are Mars Petcare Inc., Nestle Purina Petcare, Hill’s Pet Nutrition, P&G Pet Care, and Del Monte Foods Co. There are also very active mergers and acquisitions in animal functional food market. Some examples are that Cargill(major assorted feed company) took over Provimi(major feed additive company), that BASF took over Cognis, that DSM took over Martek, Tortuga, and that Biomin took over Phytogen, etc. In South Korea, Copebet-special, miraejawon ML, CheilBio, EasyBio, CTCBio, AmiBio, JinBiotech, Daeho are the major animal functional food companies. Major companies in South Korea has reached 70~80% technology level compared to world top technology by active R&D, and shown continuous revenue growth.

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Poster 4

Pan Pan(University of Science and Technology of China, China)

Junfei Yang(University of Science and Technology of China, China)

Ke Jiang(University of California, Davis, USA)

Graduated from University of Science and Technology of China, now in Institute of Advanced Technology ,University of Science and Technology of China as Director of Project Implementation and Management office to do research work in the technology transformation.Email: [email protected] Homepage: http://iat.ustc.edu.cn

Graduated from University of Science and Technology of China, had studied in mathematical physics involving some geometric aspects of string theory, Hodge theory etc. He is now interested in ANN and deep learning.Email: [email protected] Homepage: http://www.jfyang.org

Ke Jiang (江珂) is a Ph.D. candidate in the department of Communication at University of California, Davis. Her research focuses on communication network analysis, network dynamics, network visualization, intercultural communication, and cultural convergence. She also examines Guanxi network that is a special form of social network in China manifesting itself as a mixture of sentimental, instrumental and obligational ties.

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From Research to Industry: Chinese Semantic Network Analysis of Technological Achievements Transformation

Pan Pan

Junfei Yang

Ke Jiang

Institute of Advanced Technology University of Science and Technology of China, China


Institute of Advanced Technology University of Science and Technology of China, China


Department of Communication University of California, Davis, USA


Abstract

Research universities and institutes have accumulated a large number of technological achievements that can be industrialized. This paper conducts a semantic network analysis to describe the technological transformation path of research universities and institutes, and explore an industrialization model to provide source of enlightenment for future transformation of technological achievements. Specifically, based on the development data of 154 high-tech venture enterprises starting up with original innovative achievements in Institute of Advanced Technology at University of Science and Technology of China, five Chinese semantic networks were created based on Chinese word segmentation. They are: Company Description, Product Application, Project Progress, Prospect, and Team. Through the modularity analysis and calculating word centralities, this paper found that while the 154 technological venture projects demonstrate diversified development trends, information application services have become the mainstreams among these projects. Most core members of the 154 high-tech venture enterprises have postgraduate education backgrounds and overseas study or work experience. Although the technological venture projects are being industrialized and the market development prospect is good, the industrialization process is slow and the product development cycle is long.

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Poster 5

Young Hoon Lee(KEIT, South Korea)

Young Jun Kim(Korea University, South Korea)

Young Hoon Lee is a PhD candidate in Management of Technology at Korea University. He is also a senior researcher at the Korea Evaluation Institute of Industrial Technology (KEIT) focusing on R&D planning, evaluation, and global co-operation. Previously, he worked as a senior researcher at Samsung Electronics for six years. His research interests include technology management, R&D policy, Triple Helix, robotics, and mechanical design.

Dr. YoungJun Kim is currently a professor and an associate dean at the Department of Management of Technology, Graduate School of Management of Technology, Korea University, Seoul, Korea. Before joining to Korea University, he taught at Seoul National University in Korea, and Texas A&M International University in USA. Dr. Kim’s areas of research interests include technology management, technology strategy, technology economics, and R&D and Innovation Policy. He has published more than 30 papers at SSCI(SCI) journals, book chapters (OECD, Taylor & Francis), book reviews and reports.

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Within and across regional innovation system: measuring the dynamics of regional innovation systems in Korea

Young Hoon Lee

Young Jun Kim

KEIT(Korea Evaluation Institute of Industrial Technology), South KoreaE-mail : [email protected]

Korea University, South KoreaE-mail : [email protected]

Abstract

Regional Innovation System (RIS) is proposed to promote national competitiveness in 1990s based on the innovation system and cluster concepts. Since then, a number of studies on RIS have done to find out the effect and the weakness of RIS in various countries. However, national competitiveness is progressed not only by the interactions among institutional actors within each RIS, but also by the interactions across RISs. Korea is one of the countries which implement actively the RIS policies according to the characteristics of regions. This study focuses national R&D programs in Korea between 2003, when the government implemented the first active policy for RIS, and 2012. We suggest improved metaphor which can represent interactions within and across regional innovation system, and analyze the interactions measuring mutual information.

Keywords : interaction, R&D network, regional innovation system

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Poster 6

Hee Won Cha(Ewha Womans University, South Korea)

Yunna Rhee(Hankuk university of Foreign Studies, South Korea)

Chung Joo Chung(Kyungpook National University, South Korea)

Chung Joo Chung (Ph.D., State University of New York at Buffalo) is an assistant professor in the Department of Journalism and Mass Communication at Kyungpook National University. His research areas include new media and technology, social networks, international communication, and data science. He currently teaches new media research, media effect and theory, and mass communication and society. E-mail: [email protected]

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An Analysis of Korea Brand and Korean Wave using Big Data

Hee Won Cha

Yunna Rhee

Chung Joo Chung

Ewha Womans University, South Korea

Hankuk university of Foreign Studies, South Korea

Kyungpook National University, South [email protected]

Abstract

This study conducts an analysis of Big Data and social media content associated with Korea’s nation branding efforts and the Korean Wave on the public medium Google and the private medium Facebook from 2004 to 2015. The results are applied to social media strategy to enhance the nation branding efforts. This research clarifies the features and analytical differences of Big Data collected from the Google and Facebook platforms to overcome limitations to existing policy research. This research also provides a discourse on policy to improve the national brand and identifies international cultural and political implications.

Keywords : Nation Brand, Big Data, Korean Wave, Digital Ecosystem Theory, Semantic Analysis

Recorded Presentation

1st day October 29 (Thursday) / Sky Hall, Susung Hotel

13:20 - 14:00 Racial Relations in the United States: A System in Flux

Otto F. von Feigenblatt, (Carlos Albizu University, USA)

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Dr. Otto F. von Feigenblatt(Carlos Albizu University, USA)

Dr. Otto F. von Feigenblatt, Count of Kobryn, is a Costa Rican academic and public intellectual. He teaches undergraduate and graduate courses at several universities in the United States and Europe. Dr. von Feigenblatt is the author of more than one hundred academic articles published in peer-reviewed journals and he is currently serving as the Editor in Chief of the Journal of Alternative Perspectives in the Social Sciences. Dr. von Feigenblatt is an Academician of the Royal Academy of Doctors of Spain, an elected fellow of the Royal Asiatic Society of Great Britain and Ireland, an elected fellow of the Royal Anthropological Institute of Great Britain, and a foreign member of the Russian Academy of Natural Sciences.

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Racial Relations in the United States : A System in Flux

Dr. Otto F. von FeigenblattCarlos Albizu University, USA


Abstract

This presentation analyzes the idea of race in contemporary America. A brief historical overview of the concept is provided and early anthropological ideas of race are compared and contrasted to the current popular idea of race in the United States. Theories taken from cultural studies are applied to the idea of race in America to provide a new understanding on this complex construct. The study concludes that the labels of “white” and “black” in contemporary American have more to do with cultural identity than with phenotypical traits such as skin color and facial features.

Round TableTriple Future Talk Series


15:40 - 16:20 Key Ideas from a 25-Year Collaboration at Technological Forecasting & Social Change

Moderator : Ke Jiang (University of California, USA) Respondent : Marc Smith (Connected Action Consulting Group, USA)

Leslie Tkach-Kawasaki (University of Tsukuba, Japan) Presenter : Fred Phillips (Yuan Ze University, Taiwan)

Moderator : Ke Jiang (University of California)

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Dr. FRED PHILLIPS(Distinguished Professor, Yuan Ze University, Taiwan)

Dr. FRED PHILLIPS joined Yuan Ze University in 2015 as Distinguished Professor. Earlier he was Professor and Program Chair at State University of New York at Stony Brook; Vice Provost for Research at Alliant International University; Associate Dean at Maastricht School of Management (Netherlands); and Dean of Management at Oregon Graduate Institute of Science & Technology. He is also a Senior Fellow (and formerly Research Director) at the IC2 Institute of the University of Texas at Austin, a PICMET Fellow, and Profesor Afiliado at CENTRUM, the business school of the Pontificia Universidad Católica de Lima.In New York, Texas, Oregon, Holland and Korea, he has been a leader in developing graduate management curricula for employees of international and high-tech companies. His contributions in operations research include “Phillips’ Law” of longitudinal sampling, and the first parallel computing experiments with Data Envelopment Analysis. He is co-recipient of grants totaling $5 million from the Air Force Office of Scientific Research for the study of Japanese technology management practices. He brought many other grants to IC2, OGI, MSM and Stonybrook, and was co-principal investigator on a $1 million NSF project, developing advanced information systems for the US Forest Service. He has won several awards for outstanding research.Dr. Phillips is Editor-in-Chief of Elsevier’s international journal Technological Forecasting & Social Change. He authored the textbook Market-Oriented Technology Management (Springer 2001), the popular title The Conscious Manager: Zen for Decision Makers (General Informatics 2003), and a book on high-tech economic development, The Technopolis Columns (Palgrave 2006). In earlier years he held teaching, research, honorary, or management positions at the Universities of Aston and Birmingham in England, General Motors Research Laboratories, Market Research Corporation of America, and Battelle-Pacific Northwest National Laboratories. Dr. Phillips has been a consultant to such organizations as Intel, Texas Instruments, and Frito-Lay Inc., and has consulted worldwide on technology based regional development. Through his consulting firm, General Informatics LLC, he and his team have worked on projects for World Bank, UNESCO, and the US Environmental Protection Agency. Fred is a founder of the Austin Technology Council, and was also a Board member for the Software Association of Oregon. He is a popular op-ed columnist and panel member in forums dealing with trends in management, technology, higher education, and economic development.Dr. Phillips attended The University of Texas and Tokyo Institute of Technology, earning the Ph.D. at Texas (1978) in mathematics and management science. Married to Sue Phillips since 1979 and with two grown daughters, Fred enjoys his mission as an educator. His avocational passions are aikido, Argentine tango, travel and writing.Contact: [email protected] or [email protected]

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Key Ideas from a 25-Year Collaboration at Technological Forecasting & Social Change

Fred Phillips1 and Hal Linstone2

1 Yuan Ze University, Taoyuan, Taiwan [email protected] Editor-in-Chief Emeritus, Technological Forecasting & Social Change [email protected]

Abstract

Since their first meeting in 1991, the authors have enjoyed a friendly dialog centered around topics of interest to the journal Technological Forecasting & Social Change. Now, five years after Phillips succeeded Linstone as Editor-in-Chief of the journal, we recap the driving ideas that have characterized the partnership. The ideas span areas of systems, complexity, and scientific progress; the nature and measurement of innovation, social change, and technological change; the limits to growth; and multiple perspectives, as these pertain to technology forecasting and assessment. Collectively, the ideas and discussions have shaped our editorial philosophy and have appeared piecemeal in TFSC research papers, perspective pieces, and editorials. We now restate these key ideas in hopes of maximum clarity for researchers, managers, and policy makers.

For want of a nail, the shoe was lost;

For want of the shoe, the horse was lost;

For want of the horse, the rider was lost;

For want of the rider, the battle was lost;

For want of the battle, the kingdom was lost;

And all for the want of a horseshoe nail.

Overview : The systems framework

Since their first meeting in 1991, the authors have enjoyed a long and friendly collaboration centered around the topics of interest to the journal Technological Forecasting & Social Change.1

Now, five years after Phillips succeeded Linstone as Editor-in-Chief of the journal, we look back to

1) Linstone became Founding Editor of Technological Forecasting (later re-named Technological Forecasting & Social Change) in 1969. Phillips’

first paper in the journal appeared in 1996, and Linstone invited him to the Board shortly after. Early in the next decade, Phillips was appointed

Associate Editor, and (in 2006) Senior Editor. In 2011, Linstone became EIC Emeritus, and Phillips the new Editor-in-Chief.

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recap the driving ideas that have characterized the partnership. This paper remarks on those (i)ideas that emerged from items the two of us discussed, (ii) ideas on which one of us responded to the other’s invitation for comments or collaboration, and (iii) ideas of Fred’s that Hal, as mentor, expressly endorsed.We happened to have been influenced by some of the same thinkers and their works: Manfred Eigen, whose The Laws of the Game (with R. Winkler, 1983) impressed us with its clarity and profundity; Charles Perrow (1985, 1986), whose work on system failures in organizations was pathbreaking; and Karl Popper (1957), whose “multiple engineering experiments” notion affected our views on decentralization and regionalism.

We were acquainted with Herb Simon, whose ideas influenced the direction of our common interest in system theory. That interest had grown due to the efforts of our respective teachers at university, our involvement (in separate eras) with the International Society for Systems Science ISSS, Hal’s experience at RAND and Fred’s at the General Motors Research Laboratories (Phillips 1972; see also Phillips 2013a), plus our later experience with people and ideas at the Santa Fé Institute, and the systems-oriented inclinations of the distinguished Advisory Board of TFSC.

A systems thinker is disinclined to consider individual trends in isolation. One wants to foresee interactions among trends, as it is these interactions that shape society. However, the toolkit of technology forecasting includes only two techniques that attempt the latter: Cross-impact analysis, and scenario methods (Phillips 2011a; 2014a). Scenario methods are becoming more scientific (see e.g., Kwakkel, Cunningham and Pruyt 2014), but the analysis of interactions of trends remains mostly art, the domain of futurist practitioners. Nonetheless, as problems of a globalized economy and changing climate become more complex, scenario building becomes our most valuable planning tool,2 even as (because scenarios are, after all, fiction) it is the one arguably most open to criticism. Variants of Table 1 have appeared in many publications; the Table illustrates the point above.

2) Even the Saudis are conducting an “end of oil” foresight exercise. (Nick Cunningham, Saudi Arabia Planning For Transition To Renewables. 22 May

2015, http://oilprice.com/Alternative-Energy/Renewable-Energy/Saudi-Arabia-Planning-For Transition-To-Renewables.html)

Table 1. Techniques suited to different complexity regimes.Scenario methods occupy the top right quadrant.

Organizational Complexity

High LeadershipDialog/Qualitative

Methods

Low Just do it Statistics & Math

Low HighTechnical Complexity

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3) The Google search http://tinyurl.com/obyv626 yields book titles such as Managing Organizational Complexity; Embracing Complexity; and

Harnessing Complexity, but none on “preventing complexity.” The lurid title Organizational Complexity: The Hidden Killer hints that complexity is

best avoided.

4) Phillips (1997) presented Eigen’s idea to managers and planners at the World Future Society, to their evident interest. Both present authors

emphasized it again on a panel at a later PICMET conference in Portland, when it appeared that the idea was not widely grasped.

5) The future unfolds over time and space. Our s-curves over-emphasize the time dimension and under-emphasize spatial diffusion. (In fact we

suspect our epidemiologist colleagues are more sophisticated in diffusion modeling than technology management scholars are.) The future is

already happening somewhere. Travel, and look for it.

6) Phillips is grateful for Linstone’s decision to publish it, and for Gordon’s concurrence.

There is much literature on “managing complexity.” The present authors agree that we do not want to manage complexity. The theory of chaotic bifurcations suggests that managing complexity is somewhere between very difficult and impossible. Linstone cites Casti’s (2012) many examples of unanticipated catastrophes that occur when our systems become overly complex and increasingly vulnerable.

It is sometimes possible, however, to forestall complexity. By smart organizational design, by centralizing or decentralizing, or via regulation of industry, we may prevent problems from attaining the dangerous “Type D” category of complexity that Perrow called “intricate interactions and tight coupling” (Linstone and Phillips, 2013).3

The political process aiming at nuclear non-proliferation illustrates an to simplify an overly complex system (Linstone 2014). “We must not drift unaware toward Type D situations, but rather see the advance signals of tight coupling and intricate interactions, and take counter-measures – and do so without falling prey to false simplifications” that stem from pathological denial or avoidance of complexity (Linstone and Phillips, 2013).

Eigen and Winkler’s work made it clear that system theory had progressed beyond the old definition of a system as a fixed set of entities (nodes) and connections (arcs). We now know that the system is the set of generative rules that govern the birth and death of nodes and the evolution of their interactions.4 From the journal’s perspective, this insight clarified the link between cellular automata and innovation diffusion models, especially spatial diffusion models,5 and tied system theory more closely to ideas of technological evolution. The latter consideration led to a special issue of TFSC on evolutionary technology strategy (Phillips and Su 2009) and a later paper (Hu and Phillips 2011a) on technological evolution in biofuels.

A paper of Gordon and Greenspan (1986) was the first in Technological Forecasting & Social Change dealing with the “new science of complexity.” It sparked Linstone’s interest in the link between complex systems and technology forecasting. Phillips and Kim (1996) authored the journal’s second such article.6 It was followed by a special issue on navigating complexity in organizations (Phillips and Drake 2000).

In that same year, Gladwell (2000) popularized the phrase “tipping point” as it applies to social

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change. Curious about how tipping points could exist in innovation diffusion processes, given that Modis (2006) had pointed out that the single-parameter logistic function commonly used to model diffusion is scale-free (i.e., evinces nothing that can be called a tipping point), Phillips (2007) applied a systems view to a 3-parameter diffusion process which considers active organizational resistance to change. With 2+ parameters, s-curves evince “intricate structure” (Modis’ term) yielding possibly multiple tipping points of diverse kinds. The greater data requirement for fitting multi-parameter curves presents a trade-off, in practice. Yet the tipping points are useful flags for managers.

In 1972 The Club of Rome had just published The Limits to Growth (Meadows, 1972), and the head of General Motors Research Laboratories’ math department nervously asked Phillips to replicate the model. (What was then the US’ biggest company couldn’t afford to believe there were limits to growth!) The project was traditional system dynamics, to the extent that the era’s computers could crunch it. It is worth mentioning here only because of the subsequent forty years of debate between the “limits to growth” advocates and the “no limits” pundits who place all faith in innovation and price-mediated input substitution. We observe that:

• Though local resource shortages exist, and cause suffering, there are still few global shortages of anything.

• Technological innovation has indeed postponed collapse, though its benefits have been geographically uneven, and uneven among social classes.

• No one foresees “economic substitutes” for air or water. There are no known substitutes for e.g., dysprosium and neodymium, or phosphates for fertilizers, nor are such substitutes reasonably foreseeable (Phillips, 2014a).

• “The key factor for the change in capitalism is that it is no longer dependent on large-scale production and efficiency, but on technology, adaptability, and flexibility” (Kozmetsky, 1996). Localization of format, content, and language; local solutions; complexity costs and transport costs all eat into economies of scale.

In the long term our imagination is constrained so that we may not recognize that in a new era new solutions will be found to problems that seem intractable today. Thus water and energy supplies may no longer be the problems they are forecast today; robots may be effectively controlled and global warming may prove reversible. However, it appears there are limits to price substitution theory, and the second law of thermodynamics implies there is no totally sustainable growth in the long run (Phillips, 2008).

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What is innovation?

As Phillips emphasized in (1999 and 2001) (and as was foreshadowed by Ijiri and Simon (1977) and Nakicenovic et al (1999), an innovation is a non-differentiable point in an experience curve. somehow many jagged learning curves aggregate to suggest the relatively smooth trendlines that we call business cycles and Kondratieff waves.

Fig. 1a. “The Kink”: Innovation increases the momentary rate of decline of unit costs.

Fig. 1b. “The One Step Back + Two Steps Forward”:Innovation decreases productivity while the organization learns to use the new product, service, or procedure. Management

hopes that unit costs will then decline at a rate that more than compensates for the short-term productivity hit.

Fig. 1. Two possible effects of innovation on the learning curve.(Adapted from Phillips 2001).

This tied in with our discussions on the limitations of trend extrapolation. The learning curve for polyvinyl chloride, ubiquitous in textbooks, was a perfect example of Joe Martino’s dictum that “a trend is a trend until it bends.” The kink in the PVC learning curve could only have come from a manufacturing innovation. How to model this? Phillips (1999) devised (to Martino’s delight) a non-parametric piecewise-linear regression for this purpose.

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Fig. 2. An innovation in the manufacture of polyvinyl chloride,as evidenced by its kinked learning curve.

Extensions to discounting

Linstone (e.g., 1973) has emphasized that for laymen, the perceived importance and probability of an event drops off with its distance in time and space. Fig. 3 depicts this idea. We agreed to add the scope of events, i.e., whether the event affects a single person or masses of people, to the abcissa. As we have been conditioned throughout history to react to the standard arc of a narrative (in plainer language, campfire stories), with a protagonist, a setting, a conflict, and a resolution, it seems clear that we are more sensitive to the plights of individuals or small groups than to masses.

Both of us have written that the degree of discounting may vary with the individual’s cultural and social status: Environmental pollution, climate change, and loss of biological diversity may be concerns for the ethical affluent; for the poor in many countries, for whom daily survival is what matters, they are not top concerns (Linstone 2014; Phillips 2014a).7 Hal (2014) emphasizes that different discount rates can lead to quite different decisions about the future.

Hal conjectures that heavy discounting of distant events (a tendency also shown in the experiments of Tversky and Kahneman) was a survival trait (and, Fred adds, often a moral imperative) through most of our history. This is because it was probably not uncommon for an unexpectedly fatal event tomorrow to make moot a plan made for next week. That fact has not changed; it is the global scope of our problems that is new.

7) We recognize the exception of poor countries that depend on eco-tourism revenue.

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Fig 3. The Linstone Principle: We discount the significance of people and events as their distance from us in time, scope,

and space increases. The shape of the curve differs for different demographics.

None of these extensions to the discounting principle change the conclusion Hal has enunciated for more than 40 years: We cannot deal effectively with global issues that affect us locally (e.g., water pollution and climate change) if we base our planning on a heavily discounted future.

It is possible that learning to delay gratification – that is, to lower the discount rate – enabled civilization in the first place. Zinn (2015) writes, “Humans advanced mainly because… we could see beyond our villages and wonder what was over the horizon. We learned to suppress the urge to eat seeds, because planting them produced greater abundance. Our intellect overcame the [energy-minimizing] man, driving the start of [agricultural] civilization.” We’ve done it once; let’s hope we can do it again. As with agriculture, we can expect new, low-discount ideas and practices to originate in individual communities and diffuse outward.

Multiple Perspectives: Extensions to TOP

Linstone is well known for his advocacy of multiple perspectives (MP) in decision making. with each perspective yielding insights missed by the others. The technical, organizational, and personal views T, O, and P of the system have been particularly useful.

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Hal has recently (Linstone 2014) elaborated on TOP:

O is typically process oriented whereas T is product oriented; O tends to mistrust academic techniques. P draws in the important characteristic of leadership. T+O+P offer a superior basis for decision making than T alone. The choice of perspectives requires judgment. O and P are case specific. Perspectives are dynamic and change over time. T tends to dominate in the planning phase, O and P in the implementation phase. P is particularly important for effective communication.

A few years back, Hal posited an “R” (religious) perspective. This addition was spurred by today’s many religion-motivated armed conflicts, terrorist acts, and repressive policies, but also by the necessity to recognize in decision making situations that people’s faiths are liable to make them resistant to T-based evidence and arguments.

In the course of Phillips (2011b) and Phillips, Chang, Heetun, Kim, Lee, and Park’s (2013) research on cooperation among aid agencies following disaster events, Hal agreed that it’s sensible in certain applications to separate the O perspective into intra-organizational and inter-organizational.8

8) Disaster response was a key theme of Mitroff and Linstone (1993).

Table 3. Multiple Perspectives for Analysis – From TOP to PORTI

P = PersonalO = (Intra-)organizationalR = ReligiousT = TechnicalI = Inter-institutional

Table 4 augments Linstone’s (1999) detailed characterization of T, O, and P by adding the same for R and I. Table 5 shows the application of MP to the post-disaster situation, mapping the tools that may be used to influence aid agencies’ behavior against the MPs. In this case, the mapping highlights the relative lack of tools for responding to the R perspective.

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The Table is also pertinent to calls to unify the social sciences. We hope this will not happen, because we need the multiple perspectives brought to problems by the various social sciences – even though these perspectives are sometimes contradictory (Mitroff and Linstone 1993) and though we do expect some convergence as scientists from the various disciplines succumb to the lure of “big data.”

Table 4. Multiple Perspectives. The T,O,P columns are due to Linstone (1999).The R, I columns are added here by the authors.

T O P R I

World viewscience/

technology problem solving

group/institution process, action

individual, selfpower, prestige

Varied: Illusion, duty, test,

preparationCompetitive

Ethical basis objectivity fairness, justice morality scripture law

Mode of inquiry

analysis observation

cause - effect

satisficing bargaining

agenda

intuition learning

challenge - response

Revelation Negotiation

Planning horizon far moderate

discounting high discounting

for most Next world

Based on assessment

of likelihood, frequency of cooperation

Uncertainty view

uncertainties noted

uncertainties used

uncertainties disliked

Willof the divine

Minimize via communication,

business intelligence

Risk criteria logical soundness

political acceptability

loss-gain imbalance

Various: Afterlife, forgivingGod, etc.

Reliability of partner

Scenarios exploratory preferable visionarySurvival.

Conversion of unbelievers.

Trust. Competition for 3rd-party funding

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Table 5. Mapping a toolset (for post-disaster performance of aid agencies)against the Multiple Perspectives.

Nation-states, regionalism, and Popperian experiments.

Hal moderated a panel at the 1997 World Future Society conference and asked, “What is the future of the nation-state?” Panelist Phillips punted on that question, focusing his remarks on Hal’s other queries to the panel. After all, nation-states are the only voting members of international fora like the United Nations, so what possible alternative could there be to nation-states? They must persist.

However, reasons to doubt quickly became visible. Western Europe had already become an ambiguous semi-federal entity. Other signs:

• Recent and pending Free Trade Agreements amounted to a signing-away of national sovereignty (Phillips 2004).9

• Northerners’ blithely ill-informed drawing of national boundaries in Africa and the Mid-East in post-colonial and post-WWII years has led to one violent conflict after another. Yet, left to themselves, the peoples of Kenya or Iraq might well form ethnic conclaves, setting modern civilization back as effectively as today’s clumsy borders have done. The good news is that South Sudan has been recognized as a nation-state; the bad news (aside from all the violence) is that it is just that kind of ethnic retreat. Taiwan, where one of us now resides, is not recognized internationally as a nation-state at all, much to the distress of its citizens.

• As Phillips (e.g., 2006) has noted repeatedly, high-tech industry clusters develop in metropolitan areas,

9) Phillips 2004 article “Trading Down” took the interdisciplinary approach, combining ideas from economics, physical science, marketing, security

policy, politics, and business strategy. That article is again on point as President Obama (unfortunately, in secret) negotiates the Trans-Pacific

Partnership.

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not in nations as a whole (except for the smallest ones like Israel or Singapore). Often, as is the case with San Diego-Tijuana, the metro areas cross national borders.

• With the US government paralyzed by political polarization – and acting the handmaiden of corporate lobbyists – and with many of the States strangling on reduced budgets, it is becoming recognized that the only politicians taking constructive and effective actions are city mayors.

• We have noted (Linstone and Phillips 2013) the growing internationalization of research teams.

Nation-states are in trouble. (Sci-fi dystopias in which people are ‘citizens’ of corporations rather than nations may soon be not too far off the mark.) We are finding our research focuses more constructively on regions.

“Region” is a term that enjoys a flexible definition in economic geography: It may be as small as a neighborhood or as large as a contiguous grouping of (subsets of ) countries. It may not have a single government that is co-extensive with its boundaries. These characteristics allow regions with diverse environments but common interests in, say, a technology, to share assessments with one another, helping each to learn what works in what circumstances. This is what Karl Popper called, with great foresight, multiple engineering experiments.

How does this help solve global problems? The late Bill Cooper, editor of Kohler’s Dictionary for Accountants, defined a policy as a rule that must be followed 90% of the time. Phillips (2014a) extended Cooper’s idea to craft a rigorous definition of the current term “adaptive policy”10 : In adaptive policies of the first kind, the 90% figure changes as conditions change over time – going sometimes to zero, either due to a sunset clause or to (constant monitoring and) adoption of policies that are working well in other localities. An adaptive policy of the second kind would allow the percent figure to vary over geography, in response to local conditions.

Naturally, the cross-region information sharing and the monitoring of adaptive policies is made possible by information/communication technologies, ICT. Linstone (2010) summarized how economic power is being pushed to the individual desktop and to micro-enterprises even as global conglomerates continue to merge and grow. (And the micro-enterprises, whether digital wedding photographers in India or textile designers in Ghana, are connected to suppliers and customers via the Internet.) History is driven by local languages, neighborhoods, ethnicities, and new states. That is, by regionalism.

10) Which in practice, absent this definition, all too often seems to mean “no policy at all.”

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Hourglass-shaped time: Bounded futures

Again with regard to the limitations of trend extrapolation: The past is undetermined, the present is fuzzy, and the future is uncertain. Witnesses deliver conflicting testimony about a past event, and physical evidence is ambiguous. Psychology and neurology tell us there is a time lag between an event and our perception of that event, and moreover that perception is colored by our biases and prior expectations. That is, the present is fuzzy. The future is commonly depicted (at least, in physics) as a cone in space-time, encompassing many possibilities.

Fig. 4. Multiple valid explanations lead to divergent extrapolations. (Source: Phillips 2008)

Appropriately enough, time looks like an hourglass (laid on its side, in Fig. 4), widening as we go farther back or forward, and narrow – but definitely not the dimensionless point that would denote full certainty – at the “present moment.”

Fig. 4 shows (conceptually) two extrapolations of the same phenomenon from two different but perhaps equally plausible histories. Extrapolation from past data is risky because all past data are uncertain.

Time-as-hourglass is consistent with complexity theory’s “butterfly effect.” A butterfly may cause a hurricane, but we can't identify the butterfly by analyzing the hurricane. At some moment we may predict the loss of the kingdom, but that will be far later than the moment the nail is lost. We can no more trace the kingdom’s fall back to the nail than we can predict the hurricane at the moment the butterfly flutters off.

We are somewhat more certain about the boundaries of the cone on the right hand side of Figure 4. This observation gives rise to the three-legged “Bounded Futures” approach to planning. We serve the future better by (i) attending to possible scenarios within the cone, AND (ii) accepting that events outside the cone are currently impossible – and then deciding what to do about the latter. Table 6 summarizes the approach via examples.

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Scientific progress, and “big data”

Figure 5 depicts the four components of scientific progress, in the guise of leaping frogs. As the leap-frog game progresses and Theory is temporarily in advance of Data, scientists enjoy Theory’s guidance on where to look for new data. Then Methodology jumps to the front of the queue. And so on. The leap-frog game is the central characteristic of scientific progress. (See Phillips 2008 for historical examples of each leap.) It is how science advances in an ongoing but somewhat unbalanced manner.

Fig. 5. Leapfrog theory of scientific progress. Source: Learner and Phillips 1993.

(iii) The third leg of the Bounded Futures approach is to understand that the cone may not represent a hard constraint; concerted effort or an unexpected discovery may soften parts of it. The boundaries of the cone of possible futures then need to be redrawn. To be valuable for planning, the constraints imposed by the cone must be reasonably non-obvious, as are the examples in Table 6.

Table 6. Illustrating the bounded futures approach (Source: Phillips 2014a)

Example constraint Example creative responseTraditional venture capital will not drive

entrepreneurial growth.Develop government, corporate, angel, and

crowd-sourced funding for startups.

Economies of scale will not drive diffusion of innovation through worldwide

distribution of standard tangible products.

Online networks for peer-sharing of local problems and locally-developed solutions that may find

application in new locales.

Climate change will not be reversible.

Try to slow migration to vulnerable coastal areas. Develop technologies for hardened infrastructure.

Emphasize adaptation, mitigation, rather than reversal.

Neither governments nor corporations will clean up legacy polluted sites.

Find ways to contain toxins until future possible cleanups. Focus research on plants and bugs that

metabolize the toxins. Design controls against unintended consequences of the plants and bugs.

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Like the microscope and telescope before them, cheap computer memory and sensors have enabled the observation, collection and recording of vast amounts of new, unexpected data. The methodology frog jumped to the fore, setting the stage for the data frog to overtake it. The problems frog is poised to leap, as industries struggle to hire enough “data scientists” and thus to know their customers better.

The point of Figure 5, however, is that there is no “data science.” There is only science, and the data frog temporarily leads.

The yin and yang of forecasting

We would love to predict the future with pinpoint accuracy, but we know it will not happen. We would be happy enough to bracket the true future with confidence intervals and scenarios. These hopes are stymied by sleeper events, black swans, and wild cards. The latter might include “very low likelihood events such as a systemic failure of the internet or a widespread electromagnetic pulse that destroys electronics over a wide area” (Linstone 2014).

Linstone said11 “the military are trained to work through many scenarios, not so that they will pick ‘the most likely’ (as business usually does) but to make them able to react well to unanticipated ones.” Phillips and Tuladhar (2000), Phillips (2008) and others have written similarly in TFSC about organizational flexibility and personal resilience as ways to prepare for the future, when our forecasts are presumed to be just a little bit wrong – or maybe way off the mark.

The real point of forecasting is not to be “right,” but to deal with the future in a maximally positive and economic way. This is a dual task, effected by (i) crafting our best-shot vision of the unfolding future, and (ii) preparing our psyches and organizations to comprehend the range of possibilities and react with flexibility and resilience to events falling in that range and maybe outside of it. TFSC Associate Editor Tugrul Daim and Phillips recently turned thumbs-down on a DARPA RFI because the document restricted inquiry to the passive yin (confidence-interval prediction) of low-probability events, and precluded active yang responses (organizational preparation).

The multi’s, and combinatoric technology

Phillips (2008) wrote of “the Multis, the Biggers, the Smallers, and the More Connecteds.” (The “smallers” were added at Linstone’s suggestion.) Building on a speech of a former president of Microelectronics and Computer Consortium, he said technology and decision making are trending toward “Multi-product, Multi-country, Multi-culture, Multi-company, Multi-industry, Multi-technology, Multi-career, Multi-tasking, Multiple mechanisms for innovation diffusion, Multiple

11) In a private communication, around 2007.

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The speed of change, and the Circle of Innovation

Many of our social and economic problems, and much of the grist for our research, comes from the mis-matched speeds of technological, psychological, and institutional change. In 1985 Peter Drucker wrote that for several decades social change had been slower than technological change. Phillips (2008) claimed that that era was over, with social change now now the hare and tech change the tortoise, relatively speaking.

business models, Multiple stakeholders with Multiple objectives and agendas, and still more “Multis.”

Hal replied that even as projects become Bigger (bigger national economies, bigger global problems, bigger technological creations, and bigger computational models), other important things become Smaller: Microcircuitry, nanofabrication, etc.

Meanwhile, they and we all become More Connected, thanks to ICT: Telecomm and data networks, social networks, environmental problems, organizational structures, regional economies, and the Internet of Things. If you need a single image to tie all this together, try: Large numbers of globally connected nano-machines repairing the Sydney Harbor Bridge. We now connect the ideas of this section to innovation practice and to opportunities for technology-follower countries. Kodama (1992) showed that innovative R&D need not mean linear advances at the leading edge, and in fact much or most of today’s innovation is not. Instead, it is “technology fusion,” combining advances from multiple labs and disciplines. (Kodama’s idea was the forerunner of today’s “open innovation.”) Flagg et al (2013) went further, saying, “the literature demonstrates that the technological innovation process involves a complex interaction between multiple sectors, methods, and stakeholders.” We can generalize, to assert that almost all aspects of modern innovative activity are combinatoric in nature.

Matching new products with their best markets, dismantling old supply chains and re-creating them with new entrepreneurial business models, breaking down services into modules and re-ordering them, putting together special-purpose international teams for new research collaborations, or forming new business alliances and consortia, settling on the feature set of a new electronic product or hotel brand – all of these innovative activities are processes of mixing and matching.

Technology-follower countries may or may not be able to build a capacity for leading-edge research, using the most advanced instruments. And if they can, it may not be soon. Technology-follower countries can engage in combinatoric innovation as successfully as tech leader countries. There is no reason a researcher in a technology-follower country cannot be a better networker than a researcher in a technology leader country. Or have a better imagination. In this way, technology-follower countries can increase their pace of useful innovation.

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Later developments seemed to support this position. The fact that America is said to have institutions “too big to fail” means that incumbents’ advantage is reinforced. The fact that the millennial generation would prefer to start small Main Street businesses rather than Silicon Valley businesses (Kammer-Kerwick and Peterson 2015) means fewer brains focused on transformational innovation.

Though Hal noted that an innovation slowdown is consistent with K-wave theory, he later (2014) wrote, “Technology is [still] racing ahead at a clip that is outpacing our social systems.” Though Hal came at the relative speed question from an angle slightly different from Fred’s, it appears we were not in complete agreement.

Part of the resolution lies in sociologists’ distinction between society and culture. Society is made up of people and their physical environment – including their technological environment. Thus there’s a confounding involved when comparing technology to society; they are not separate concepts. Culture, on the other hand, is the intangible component of society, encompassing beliefs, attitudes, practices including language, and opinions. The meaningful question, then, is whether technology changes faster than culture.

A rather clever Bloomberg analysis makes a step in the right direction, with an interactive graphic called How Fast America Changes its Mind, http://www.bloomberg.com/graphics/2015-pace-of-social-change/. Another is in Sonnad’s How Brand New Words Spread Across America (2015). Both address intangibles. However, as Bloomberg’s analysis spans a period encompassing vastly different mass media, and Sonnad focuses on the diffusion of new vocabulary via Twitter, technology effects are still present, and a definitive answer to the relative speed question may be beyond reach.

Linstone (2014) wrote, “As the half life of knowledge shrinks while health technology lengthens the human life span, lifelong learning becomes not merely useful but essential. It has made remote and continuous learning possible, thereby creating a superior work force.” His statement illustrates what Phillips (2014b) calls the Circle of Innovation: Innovations create not just new products and services, but new ways of using new products and services. The latter force changes in the ways we organize and interact with one another. The newer kinds of organizations generate new needs, which are answered by still further technical innovations.

Most published papers address either the left-hand arc of the Circle, or (more frequently) the right-hand side. This is probably because of researchers’ professional specializations. However, TFSC is concerned with the entire circle.12

12) Historians do debate whether a change in technology or a change in values led the agricultural revolution. This seems a valid question for

paradigm-busting innovations that come once a millennium or more seldom. For the kinds of innovations usually treated in the pages of TFSC,

however, feedback effects occur more quickly, and the Circle of Innovation applies.

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Fig. 6. Nonlinear innovation models portrayed as epicycles within the Circle of Innovation

Fig. 6 suggests how the grand feedback cycle of the Circle of Innovation can serve as a frame for the several more detailed nonlinear models of innovation that grace the journal’s pages. Moreover, the Circle of Innovation has immediate implications. For example, conventional market segmentation targets customer characteristics. Ted Levitt (1983) and Clayton Christensen (2003) advised differently; They said, target products to the customers’ “circumstances,” or usage scenarios, not to their demographics. The nonlinear view in Fig. 6 helps us see that the product will change the circumstances. This further implies the importance of corporate foresight: Being first to envision the changed circumstances means being first to market still newer products that meet the new needs.

Artificial intelligence and its dangers

“Advanced robots may gain the intelligence to initiate a devastating attack on their erstwhile creators” (Linstone 2014). Or on each other, we might add. Then there is the “gray goo” scenario, in which nano machines eat everything in sight, organic or otherwise, in order to reproduce themselves.

Neither of us believes the “Singularity” will bring a qualitative change. Stupid people are more dangerous than smart machines. Venal people caused the global financial crash, not to mention wars. To be sure, a machine with evolutionary, self-modifying code is qualitatively different from one with static programming. That does not change the fact that outcomes are influenced by the initial programming, which may have been done wisely or with utter obtuseness.

An obvious regulatory remedy would have been to decree that for the present, intelligent machines may be made no bigger or smaller than can be smashed with a baseball bat. That suggestion is not only facetious; it is infeasible: The robots are already armed and able to fight back. Asimov’s three laws have been trumped by the imperatives of the military-industrial complex, which wants

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autonomous fighting machines; Michael Miner’s Robocop was more realistic fiction.

The greater danger, however, is AI in distributed systems (Manzalini and Stavdas’ 2014 title, “The Network is the Robot,” cuts to the heart of the matter. See also Stuart Russell’s remarks in Bohannon 2015. Musgrave and Roberts’ 2015 Atlantic article goes on about the topic at greater length.) Again, the culprits are human, specifically the interests backing 5G telecomm. 5G, the technology enabling the universally networked robot, will eliminate free wifi (Johnson 2015), exacerbating the digital divide and its attendant social ills.

All this will become perfectly clear, at least in the legal sense, as soon as there are damages to be assessed. Will the crash of a driverless car be blamed on the car manufacturer or on the software provider? A recent Dilbert comic asks the more poignant question, if a person with a networked implant commits a crime, who be charged in court – the person, or the programmer?

We should settle these questions soon. As we leave the ICT era and enter the molecular era (Linstone 2010), we will face similar questions with artificial wet life. Better to have answers in hand in advance.

People, we agree, may disrupt society before machines do. Hal wrote (2014), “We are witnessing growing dissatisfaction with governance on one hand and eager local initiatives on the other as a counter to federal political paralysis in Washington. The rising disenchantment with governance may lead to institutional instability and chaos.” Phillips (2008) had noted the prospect of revolution in the USA.

As for the Singularity, the MP principle gives us helpful advice: “A singularity anticipated with a technical perspective may not occur at all with another perspective” (Linstone 2014).

Conclusion

Implications of the ideas described in this paper are explored more fully in the cited original publications. We have recapped the ideas here for a number of reasons: As a convenience for readers, as a historical record, and to further clarify, fore each idea, our intended meaning and our current thinking. Collectively, these ideas frame our philosophy of technology forecasting and assessment.

We will be happy to see future submissions to TFSC that either support or challenge these ideas. The journal’s mission and scope remain as stated on its web site, and nothing in the present article is intended to further limit the diversity of the papers the journal receives and publishes.

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K.R. Popper, The Poverty of Historicism, Harper Torchbooks, New York (1957).

N ikhil Sonnad, How Brand New Words Spread Across America Quartz. Posted: 22 Aug 2015 02:19 PM PDT. http://

feedproxy.google.com/~r/TheLow-down/~3/SPddLZdqqSQ/how-brand-new-words-spread-across.html?utm_

source=feedburner&utm_medium=email

Ray Zinn, Tough Things First: Leadership Lessons from Silicon Valley’s Longest Serving CEO. McGraw-Hill Education, 2015.

Panel Discussion 1


14:00-15:20 1 Ego Network Analysis of United States Healthcare Open-Data Companies

Hyun Kwang Shin (Yeungnam University, South Korea) Han Woo Park (YeungNam University, South Korea)

2 Webometric Analysis of the Current Open Data Trends in Nepal

Srijana Acharya (Yeungnam University, Nepal)Han Woo Park (YeungNam University, South Korea)

3 Webometric Analysis of Open Data 500 Companies in the United States:A Case of Lifestyle and Consumer Category

A-Reum Jang (Yeungnam University, South Korea)Han Woo Park (YeungNam University, South Korea)

4 Saying, Searching, and Selling: Electronic Cigarettes on Social Media in China

Miao Feng (University of Illinois at Chicago, USA)Weiai Wayne Xu (Northeastern University, USA)

Open Big Data & Government 3.0

Chair: Ick Keun Oh (Keimyung University)

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Presenter 1

Hyun Kwang Shin(Bachelor of Science in Information and Communication Engineering, Yeungnam University, South Korea)

Han Woo Park(Full Professor, Department of Media and Communication, Interdisciplinary Program of East Asian Cultural Studies, Interdisciplinary Program of Digital Convergence Business, YeungNam University, South Korea)

Hyun Kwang Shin is a student studying for a Master degree in the Department of Information and Communication Engineering Studies at Yeungnam University. He is interested in Social Network, Opinion Mining and Big Data.

Dr. Han Woo Park is a Full Professor in the Dept. of Media & Communication, Interdisciplinary Programs of East Asian Cultural Studies, and of Digital Convergence Business at YeungNam University, South Korea. His research focuses on the use and role of open (big) data in extending academic, governmental, and business networks in scientific, technical, and innovative activities. He was a pioneer in network science of open big data in the early 2000s (often called Webometrics). He is currently the president of the World Association for Triple Helix and Future Strategy Studies. Since the establishment of open data law in Korea, he has actively participated in the Strategic Committee of Public Data chaired by Prime Minister. He has founded a prestigious conference on big data, government 3.0, and triple network in Asia, called DISC (Daegu Gyeongbuk International Social Network Conference). He also sits on the consulting boards of European Union project on open data (http://www.data4policy.eu) in collaboration with Oxford Internet Institute where he used to be a visiting scholar. He has been invited to give a keynote speech in a number of conferences including the International Conference on e-Democracy and Open Government-Asia 2012 (CeDEM-Asia-2012). Further, he is strongly affiliated with several prestigious journals on open government and big data such as Big Data & Society. Further, he is a principal investigator of OpenData500.com on Korean side (http://www.opendata500.com/kr). Recently, he published the following article: Jung, K., & Park, H.W. (2015). A Semantic (TRIZ) Network Analysis of South Korea’s “Open Public Data” Policy. Government Information Quarterly. 32 (3), 353-358.

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Ego Network Analysis of United StatesHealthcare Open-Data Companies

Hyun Kwang Shin

Han Woo Park (Corresponding author)

Master Student Information and Communication Engineering

YeungNam University, South KoreaE-mail : [email protected]

Full ProfessorDepartment of Media and Communication

Interdisciplinary Program of East Asian Cultural StudiesInterdisciplinary Program of Digital Convergence Business


Abstract

This paper examines some web-mediated influence of U.S. companies which are concerned with ‘health care’ business using open data. Using an API-based open tool, Webometrics Analyst 2.0, their ego-centric networks on the Web were collected, analyzed, and visualized in several ways. First, a total of 740 websites that formed at least one tie with 38 U.S. companies were collected from the Web sphere indexed in Bing.com. Next, the websites owners were manually classified in terms of their countries and geographically visualized using QGIS program. This ‘infographics’ shows the extent to which individual countries are interested in open data-driven ‘health care’ activities. Not surprisingly, American websites were the most connected. Canada, England, and Germany followed. Also, some statistical test was conducted between two world ranking lists. One list was determined in terms of their relational strength with U.S. open data ‘health care’ companies. The other list came from ODB (Open Data Barometer) ranking published by World Wide Web Foundation. Two lists had a significant correlation, revealing that the more active to use open data in general, the more vibrant activities in ‘health care’ field. Lastly, websites were analyzed in terms of their owners, operating contents, and technical format types. As a result, private enterprise in ownership type, health & data technology in operating contents, and regular homepage in format type were dominant respectively.

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Presenter 2

Srijana Acharya(The Department of Digital Convergence Business at Yeungnam University, Nepal)


Srijana Acharya is a PhD student in the Department of Digital Convergence Business at Yeungnam University,

Gyeongsangbuk-do, South Korea. She has completed MS degree in Information and Communication

Engineering and Bachelor degree in Computer Application. She worked as a computer instructor for several

years in various schools. Her main research interest includes business aspects of cognitive radio networks, Link

analysis of Big data, Open data and social networks analysis.

Dr. Han Woo Park is a Full Professor in the Dept. of Media & Communication, Interdisciplinary Programs of East

Asian Cultural Studies, and of Digital Convergence Business at YeungNam University, South Korea. His research

focuses on the use and role of open (big) data in extending academic, governmental, and business networks

in scientific, technical, and innovative activities. He was a pioneer in network science of open big data in the

early 2000s (often called Webometrics). He is currently the president of the World Association for Triple Helix

and Future Strategy Studies. Since the establishment of open data law in Korea, he has actively participated

in the Strategic Committee of Public Data chaired by Prime Minister. He has founded a prestigious conference

on big data, government 3.0, and triple network in Asia, called DISC (Daegu Gyeongbuk International Social

Network Conference). He also sits on the consulting boards of European Union project on open data (http://

www.data4policy.eu) in collaboration with Oxford Internet Institute where he used to be a visiting scholar. He

has been invited to give a keynote speech in a number of conferences including the International Conference

on e-Democracy and Open Government-Asia 2012 (CeDEM-Asia-2012). Further, he is strongly affiliated with

several prestigious journals on open government and big data such as Big Data & Society. Further, he is a

principal investigator of OpenData500.com on Korean side (http://www.opendata500.com/kr). Recently, he

published the following article: Jung, K., & Park, H.W. (2015). A Semantic (TRIZ) Network Analysis of South

Korea’s “Open Public Data” Policy. Government Information Quarterly. 32 (3), 353-358.

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Webometric Analysis of the Current Open Data Trends in Nepal

Srijana Acharya

Han Woo Park (Corresponding Author)

Dept. of Digital Convergence BusinessYeungNam University, NepalE-mail : [email protected]




Abstract

This study examines the current open data trend in Nepal with respect to the web metric analysis. While exploring the current trends of opendata in Nepal we use the search engine (google.com) and obtained the data by going through the website and learning about them. Our study found out various national nonprofit organizations, international nonprofit organizations, government sector, educational institutions and a few commercial business organizations in an infancy stages are the actors who have aided to foster the open data in Nepal. Therefore we analyzed those organizations in terms of the pattern and network structure and to what degree are these organizations present to the outside world using the software webometric Analyst 2.0 (http://lexiurl.wlv.ac.uk) that uses the BING API. We analyzed the inter linkage, co-mention network analysis and the web impact analysis. Our analysis shows that the international non-government organizations are interlinked strongly. The non-government organization and government organization and international non-government organizations (INGOs) are interlinked but the linkage is weak. In respect to the co-mentioned analysis the international non-government organizations (INGOs) with INGOs appears be significant then the NGOs with NGOs or government or business organization because these INGOs are actively working since many years and their web presence is high and they work in other fields too, including the open data. The co-mention of NGOs with INGOs also shows good results. The result of the performance is because of the URL citation links or the title mentioned links goes together between the organizations are well cited by the third site as these organizations work closely. The network evaluation and its indicators of the seeds sites linking to the external website in terms of the estimated number of top level Domains (TLD) and country code top level domains (ccTLD) was also performed.

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Presenter 3

A-Reum Jang(BA, Yeungnam University, South Korea)


A-Reum Jang is a student studying for a Master degree in the Department of East Asian Cultural Studies at Yeungnam University. She is interested in Chinese culture, SNS and Big Data.


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Webometric Analysis of Open Data 500 Companies in the United States: A Case of Lifestyle and Consumer Category

A-Reum Jang


Master Student Interdisciplinary Program of East Asian Cultural Studies





Abstract

In this study, we have examined and analyzed several cases of open data use by American companies and their suitability and implications for Korean companies. Also, to find out the online influence of American companies and the characteristics of their relationship, the domain address of each company was used in the analysis. Among the 500 American companies on the Open Data Company List, 24 companies in the category of “Lifestyle &Consumer” were analyzed (http://www.opendata500.com/). As the result of the case analysis, many American companies tended to provide mobile application services and 15 of them used mobile applications and web contents at the same time. Also, their service was more oriented towards individual clients than corporate clients. Interestingly enough, some American companies using open data provided ordinary citizens with interactive features that help solve social issues. This finding presents an implication of how open data should be utilized in Korea. Next, the online influence of the American companies was analyzed based on the number of times the domain name of each company was cited on the Web. According to the analysis, the companies that provide service affecting consumers’ decision to buy products and healthcare service were most frequently cited. As for the characteristics of the relationship between the companies, those that provide similar service shared domain links to each other’s website.

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Miao Feng(University of Illinois at Chicago, USA)

Weiai Wayne Xu(Northeastern University, USA)

I am a doctoral candidate in the Department of Communication and a research assistant in the Institute for Health Policy and Research at the University of Illinois at Chicago. I received my MA degree in Media Studies from the University of Wisconsin-Milwaukee. My research interests focus on the political and social impacts of new media and technologies. My recent research projects discuss the use of social media and how it reflects and reconstructs people’s engagement in and discourse on social movements in China. I have published in journals such as Journal of Communication, the Journal of Broadcasting & Electronic Media, and Asian Journal of Communication.

I am a computational social scientist specializing in social media analytics in public and nonprofit communication. I currently work at Northeastern University (Boston) and collaborate with the Network Science Institute at NEU on grant projects funded by the US Army. I have years of experience working for research funded by the Air Force Office of Scientific Research and National Institute of Health. My research has appeared in American Behavioral Scientist, The Journal of Broadcasting & Electronic Media, International Journal of Communication, Online Information Review and Quality & Quantity. I currently serve on the editorial board of Social Media and Society.

Presenter 4

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Saying, Searching, and Selling:Electronic Cigarettes on Social Media in China

Miao Feng

Weiai Wayne Xu

University of Illinois at Chicago, USAE-mail : [email protected]

Northeastern University, USAE-mail : [email protected]

Abstract

China bears one of the highest tobacco burdens in the world. A 2010 WHO survey shows that 53% of men and 2.4% of women, or approximately 300 million adults, smoke in China. China also represents an important emerging market for tobacco-related products such as electronic cigarettes. Electronic cigarettes were first produced and marketed heavily in China around 2004, years before similar products or related marketing efforts appeared in the United States. Recent reports estimate that 95% of the electronic cigarettes worldwide are produced in China. The current exploratory study uses social data analytics to understand the trends of electronic cigarettes in China. The study uses multiple data sources, spanning across a two-year period. The first source is social conversations on Sina Weibo, one of China’s largest social media outlets. Specifically, the study uses approximately 500,000 Weibo posts on electronic cigarettes to examine how marketers and users perceive and reinterpret the tobacco product. The second source is Baidu Index, which provides the analytics of China’s top search engine. The search engine analytics data are then compared to the third source, which is the actual sales data for each brand on China’s biggest e-commerce site Taobao.com. Overall, it is hypothesized that the volume of mentions of electronic cigarettes and specific brands, along with the related search activities, would predict the amount of actual online sales in China. The study will demonstrate the feasibility of social analytics in understanding health trends. It also represents an important direction in the big-data research—interpreting a phenomenon based on mixed methods and multiple big-data sources.

Panel Discussion 2


16:20 - 18:00 1 Analysis of the Policy Network for the “Feed in Tariff Law” in Japan:Evidence from the GEPON Survey

Sae Okura (University of Tsukuba, Japen)Leslie Tkach-Kawasaki (University of Tsukuba, Japan)Yohei Kobashi (Waseda University, Japan)Manuela Hartwig (Free University of Berlin, Germany)Yutaka Tsujinaka (University of Tsukuba, Japan)

2 How Do Korean Telecommunication Giants Manage and Perceive the Internet of Things (IoT) through Social Media and Commercial Videos ?

Minju Yoo (Sungkyunkwan University, South Korea)Jang Hyun Kim (Sungkyunkwan University, South Korea)

3 Semantic Network Analysis of Debates on Net Neutrality in Cyber Space

Kang-Nyeon Lee (Sungkyunkwan University, South Korea)Jang Hyun Kim (Sungkyunkwan University, South Korea)

4 How does fractional counting affect the structure of collaboration networks? A case of publications indexed in 2013 SSCI and A&HCI on East Asia

Ji-Young Park (Yeungnam University, South Korea)Loet Leydesdorff (University of Amsterdam, The Netherlands)Han Woo Park (Yeungnam University, South Korea)

5 Participation in Facebook Groups: How Differently Do We Engage with Group Members?

In Ho Cho (Data & Beyond, South Korea)Kwang-Taek Roh (Kyungil University, South Korea)Ki Jun Son (The IMC, South Korea)Ji Young Kim (Yeungnam University, South Korea)Han Woo Park (Yeungnam University, South Korea)

Policy & Network Analysis

Chair : Jae Hwan Park (Middlesex University)

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Presenter 1

Sae Okura (University of Tsukuba, Japen)

Sae Okura is a Ph. D. student in the Master’s and Doctoral Program in International and Advanced Japanese Studies, Graduate School of Humanities and Social Sciences, University of Tsukuba, Japan. She conducts research in politics and social policy studies. Ms. Okura is currently a Joint Research and Part-time Fellow of a special research project on civil society in comparative perspective and is conducting social surveys in Germany. Her recent research interests include minority group interests and political strategies.

Leslie Tkach-Kawasaki (University of Tsukuba, Japan)

Leslie Tkach-Kawasaki, Ph.D., is an Associate Professor in the Graduate School of Humanities and Social Sciences, University of Tsukuba, Japan. Her main area of research involves examining how political actors in Japan use Internet-based media for informing and communicating with the electorate. She is also the principal researcher for a multi-year contract research grant (2014-2017) investigating comparative energy discourse in Japan and Germany in the post-Fukushima era.

Yohei Kobashi (Waseda University, Japan)

Yohei Kobashi is an Assistant Professor at the Waseda Institute of Political Economy, and a Ph.D. graduate of the Tokyo Institute of Technology. While his major is social science, his approach is interdisciplinary. He is the author of refereed journal articles about Japanese linguistics, natural language processing and policy network analysis, and wrote chapters of two books comparing civil societies at the state level. He has recently researched applications of machine learning methods to statistical analysis in the social sciences.

Manuela Hartwig (Free University of Berlin, Germany)

Manuela Hartwig is a research associate at the Graduate School of East Asian Studies, Free University of Berlin, Germany. Ms. Hartwig has an M.A. in Japanese Studies and Political Science, and since 2012 she has been involved in comparative research of German-Japanese Energy Policy conducted by the University of Tsukuba, Japan. Her research interests concentrate around actor dynamics in decision-making processes and information exchange in the field of political communication and participation, media/new media and politics.

Yutaka Tsujinaka (University of Tsukuba, Japan)

Yutaka Tsujinaka, Ph.D., is a Professor at the Center for International, Advanced, and Comparative Japanese Studies, University of Tsukuba, Japan. He is a director of the Institute for Comparative Research in Human and Social Sciences also at the University of Tsukuba, Japan. His survey projects over the past 15 years have yielded many books and papers in Japanese and English on civil society structures in Japan and 14 other countries.

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Analysis of the Policy Network for the “Feed in Tariff Law” in Japan:Evidence from the GEPON Survey

Sae Okura

Leslie Tkach-Kawasaki

Yohei Kobashi

Manuela Hartwig

Yutaka Tsujinaka

University of Tsukuba, JapanE-mail : [email protected]

University of Tsukuba, JapanE-mail : [email protected]

Waseda University, JapanE-mail : [email protected]

Free University of Berlin, GermanyE-mail : [email protected]

University of Tsukuba, [email protected]

Abstract

Energy policy is known to have higher path dependency among policy fields (Kuper and van Soest, 2003; OECD, 2012; Kikkawa, 2013) and is a critical component of the infrastructure development undertaken in the early stages of nation building. Actor roles, such as those played by interest groups, are firmly formed, making it unlikely that institutional change can be implemented. In resource-challenged Japan, energy policy is an especially critical policy area for the Japanese government. In comparing energy policy making in Japan and Germany, Japan’s policy community is relatively firm (Hartwig et al., 2015), and it is improbable that the institutional change can occur. The Japanese government’s approach to energy policy has shifted incrementally in the past half century, with the most recent being the 2012 implementation of the “Feed-In Tariff Law” (Act on Special Measures Concerning Procurement of Renewable Electric Energy by Operators of Electric Utilities), which encourages new investment in renewable electricity generation and promotes

104

the use of renewable energy. Yet, who were the actors involved and the factors that influenced the establishment of this new law? This study attempts to assess the factors associated with implementing the law as well as the roles of the relevant major actors. In answering this question, we focus on identifying the policy networks among government, political parties, and interest groups, which suggests that success in persuading key economic groups could be a factor in promoting the law. Our data is based on the “Global Environmental Policy Network Survey 2012-2013 (GEPON2)” which was conducted immediately after the March 11, 2011 Great East Japan Earthquake with respondents including political parties, the government, interest groups, and civil society organizations. Our results suggest that about 70% of the actors involved are in favor of the introduction of the Feed-In Tariff Law while about 30% are against or demonstrate cautious attitudes towards its implementation. The strength of our research lays in our focus on political networks and their contributing mechanism to the law’s implementation through analysis of the political process. From an academic perspective, identifying the key actors and factors may be significant in explaining institutional change in policy areas with high path dependency. Close examination of this issue also has implications for a society that can promote renewable and sustainable energy resources.

References Gerard Kuper and Daan P. van Soest (2003) Path-dependency and input substitution: implications for energy policy modeling, Energy Economics, 25: 397–407. Manuela Hartwig, Yohei Kobashi, Sae Okura and Leslie Tkach-Kawasaki (2015) Energy Policy Participation through Networks Transcending Cleavage: an Analysis of Japanese and German Renewable Energy Promotion Policies, Quality and Quantity, 49 (4): 1485-1512. OECD (2012) OECD Green Growth Studies: Energy, OECD Publishing. Takeo Kikkawa (2013) Japan’s Energy Problems (Nihon no enerugĩ mondai) NTT Publishing.

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Memo

106

Presenter 2

Minju Yoo(Sungkyunkwan University, South Korea)

Jang Hyun Kim(Sungkyunkwan University, South Korea)

DegreeBachelor’s Course, The Department of Film, TV & Multimedia, Sungkyunkwan University, 2008-2015Master and Ph. D. merged Course, The Department of Interaction Science, Sungkyunkwan University, 2015~

Main ResearchSocial/Semantic Network Data Analysis, Social Media, Media Contents, Big Data, Internet of Things

ContactE-mail : [email protected]

Kim, Jang Hyun (Associate Professor and Department Chair)Department of Interaction Science, Sungkyunkwan University, South Korea

Research Interests : Social network data analysis, New media, Leadership

Careers2014.9 - Present Associate Professor , Sungkyunkwan University 2013 - 2014.8 Assitant Professor, DGIST2007.8 - 2012.12 Assitant Professor, University of Hawaii at Manoa

Education2003-2007 Ph.D., Communication, State University of New York at Buffalo, 1996-1998 M.A., Yonsei University, Communication1992-1996 B.A., Yonsei University, Economics

Recent Main Research Internet Research (2015), Interative Learning Environments (2015), Journal of Computer-Mediated Communication (2012), Telecommunication Policy (2011), Online Information Review (2013), Government Information Quarterly (2014), Asian Journal of Communication (2009), Journal of American Society for Information Science and Technology (2010)

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How Do Korean Telecommunication Giants Manage and Perceive the Internet of Things (IoT) through Social Media and Commercial Videos ?

Minju Yoo

Jang Hyun Kim

Sungkyunkwan University, South KoreaE-mail : [email protected]


Abstract

Internet of Things (IoT) is gaining increasing importance as the new and core business sector of telecommunication companies in the world. For instance, Cisco, a multinational ICT (Information Communication Technology) company, reported that they would support the telecommunication companies by transferring IoT infra service to service platform for creating profit. The current study intends to examine how Korean telecommunication giants, which are SK Telecom, KT and LG u plus, are getting into the home IoT market through communication with social media users and general publics. In particular, corporate social media and television/online commercial messages on IoT and users’ response to those will be analyzed, as both social media and video commercials are key interaction channels between companies and their potential consumers. The authors employed two kinds of analysis: First, we analyzed Korean telecommunication giants’ TV commercial on Youtube channel. Second, we used semantic network analysis for analyzing text-data collected from 3 Korean telecommunication company’s social media channel by applying Python and its libraries. Relevant software including Python, NodeXL, UCINET, Wordij and others are used for the analysis as well. Through the analysis, we expect to find that Korean telecommunication giants are attempting to lead the IoT industry in the world through dialogic communication (social media) and stimulating users demands for IoT services.

Presentation Way : Independent Presentation (bump for poster if needed)Topics : Social media, Social networks and semantic networks, Specific industry; IT, IoT

108

Presenter 3

Kang-Nyeon Lee(Sungkyunkwan University, South Korea)

Jang Hyun Kim(Sungkyunkwan University, South Korea)

DegreeBachelor’s Course, The Department of Economics, Yonsei University, 1997-2004Master and Ph. D. merged Course, The Department of Interaction Science, Sungkyunkwan University, 2015 - Present

Main ResearchSocial/Semantic Network Data Analysis, Business Data Analysis, Big Data, Fin Tech, 3D Printing, Internet of Things

ContactE-mail : [email protected]

Kim, Jang Hyun (Associate Professor and Department Chair)Department of Interaction Science, Sungkyunkwan University, South Korea

Research Interests : Social network data analysis, New media, Leadership

Careers2014.9 - Present Associate Professor , Sungkyunkwan University 2013 - 2014.8 Assitant Professor, DGIST2007.8 - 2012.12 Assitant Professor, University of Hawaii at Manoa

Education2003-2007 Ph.D., Communication, State University of New York at Buffalo, 1996-1998 M.A., Yonsei University, Communication1992-1996 B.A., Yonsei University, Economics

Recent Main Research Internet Research (2015), Interative Learning Environments (2015), Journal of Computer-Mediated Communication (2012), Telecommunication Policy (2011), Online Information Review (2013), Government Information Quarterly (2014), Asian Journal of Communication (2009), Journal of American Society for Information Science and Technology (2010)

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Semantic Network Analysis of Debates onNet Neutrality in Cyber Space

Kang-Nyeon Lee

Jang Hyun Kim



Abstract

This Study tracked text data, which contained various opinions, on Net Neutrality in Cyber Space and Academic Writings. Net Neutrality (NN) is key concept of the Internet Age; according to Oxford Dictionary, Net Neutrality is defined as “the principle that internet service providers should enable access to all content and applications regardless of the source, and without favouring or blocking particular products or websites.” On June, 2015 a Federal appeals Court in Washington D.C. rejected a petition for a temporary stay of the new Regulations of Federal Communications Commission. The verdict made the discussion relevant to Net Neutrality fiercer among citizens and media in the U.S. Policy makers and Politicians are affected by the general public and media and expertise group. The perceptions to the Net Neutrality have influence to the telecommunication policy participants. Data were retrieved from Reddit.com (a Social Media in the U.S.), LexisNexis.com (search engine for various documents including news article), and Google Trends and Web of Science database; the authors conducted Semantic Network Analysis for collected datasets. And the researchers examined structural pattern of those text data. Based on Results, this study shows that texts related to Net Neutrality in Cyber Space and Academic Writings have different perspectives in word usage, even emotional dimension.

Topics : Net Neutrality, Semantic network analysis, Federal Communications Commission, telecommunication policy

110

Presenter 4

Ji-Young Park (MA, Yeungnam University, South Korea)

Ji-Young Park is a doctoral candidate in Interdisciplinary Program of East Asian Cultural Studies at Yeungnam University. Also, she is currently researcher of the Cyber Emotions Research Institute. Her research areas include social media & big data in Asia, cross-cultural & intercultural communication, and new media & digital technology.

Loet Leydesdorff (University of Amsterdam, The Netherlands)

Loet Leydesdorff (Ph.D. Sociology, M.A. Philosophy, and M.Sc. Biochemistry) is Professor at the Amsterdam School of Communications Research (ASCoR) of the University of Amsterdam. He is Honorary Professor of the Science and Technology Policy Research Unit (SPRU) of the University of Sussex, Visiting Professor of the Institute of Scientific and Technical Information of China (ISTIC) in Beijing, Guest Professor at Zhejiang University in Hangzhou, and Visiting Professor at the School of Management, Birkbeck, University of London. He has published extensively in systems theory, social network analysis, scientometrics, and the sociology of innovation (see at http://www.leydesdorff.net/list.htm ). With Henry Etzkowitz, he initiated a series of workshops, conferences, and special issues about the Triple Helix of University-Industry-Government Relations. He received the Derek de Solla Price Award for Scientometrics and Informetrics in 2003 and held “The City of Lausanne” Honor Chair at the School of Economics, Université de Lausanne, in2005. In2007, he was Vice-Presiden to the 8th International Conferenceon Computing Anticipatory Systems (CASYS’07, Liège). Since 2014, Thomson Reuters lists him as a highly-cited author (http://highlycited.com).



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How does fractional counting affect the structure of collaboration networks? A case of publications indexed in 2013 SSCI and A&HCI on East Asia

Ji-Young Park

Loet Leydesdorff


Doctoral StudentInterdisciplinary Program of East Asian Cultural Studies


University of Amsterdam, Amsterdam School of Communication Studies (ASCoR), the Netherlands





Abstract

This study applies a new method, fractional attribution of authored affiliations, to co-authored publications. Fractional counting method can calculate the relative contribution of individual author in multi-authored publications. Therefore, fractionally counting co-authored publications can improve on the networked positions of diverse research units and their affiliated countries by ranking them more accurately. In a previous study, the authors applied full (integer) counting indicators to multi-authored publications on East Asia, collected from the Web of Science (SSCI and A&HCI) database during 2013. In a collaboration network based on full counting, Australia in the most central position and Singapore and China came after, indicating that these three countries were most actively engaged in scholarly research on East Asia. In particular, in terms of institutions, Western Australia University, National Singapore University, and Peking University are ranked high in terms of degree centrality. On the other hand, fractional counting method revealed that East Asian countries such as South Korea, China, and Singapore were the most active in collaboration

112

network. Next, in the institutional network, Seoul National University, Chinese Academy of Science, Hong Kong University, and National Singapore University had the highest degree centralities. Based on the results, we discuss the advantages of the fractional counting, considering some differences in collaboration network. Fractional counting indicators are measured using a dedicated program made available at http://www.leydesdorff.net/software/fraction.

Keywords : Fractional counting, co-authorship, collaboration, East Asia, social network analysis

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Memo

114

Presenter 5

In Ho Cho (Data & Beyond, South Korea)

Ph.D. Communication Studies, University of Texas at AustinSenior Researcher, Institute of Media & Culture, Sogang University Research Executive, Data & Beyond

Kwang-Taek Roh (Kyungil University, South Korea)

Ki Jun Son (The IMC, South Korea)

(Present) Professor, Kyungil University(2011-2013) Research Engineer, Daegu Technopark(2010) Senior Research Engineer Korea Industrial & Economic Development Institute(2005-2010) Manager, Korea Coating Experts Society(1999-2003) Assistant Brand Manager, CJ CheilJedang Corporation

Ji Young Kim (Yeungnam University, South Korea)

Jiyoung Kim is a PhD candidate in the Department of Media and Communication at YeungNam University, South Korea. Her interests lie in the field of new media and digital culture. She is a senior researcher of the Cyber Emotions Research Institute.



115


Participation in Facebook Groups: How Differently Do We Engage with Group Members?

In Ho Cho

Kwang Teak Roh

Ki Jun Son

Ji Young Kim

Han Woo Park

Data & Beyond, South KoreaE-mail : [email protected]

Kyungil University, South KoreaE-mail : [email protected]

The IMC, South KoreaE-mail : [email protected]

Yeungnam University, South KoreaE-mail : [email protected]

Yeungnam University, South KoreaE-mail : [email protected]

Abstract

This study aims to understand how Facebook users employed various speech acts when engaging in communication across different levels of group openness in Korea. In addition, the study intended answer how demographic information relates to the use of speech acts. The data for the current project was collected through Digital Footprints, a crawling application developed by Arthus University. As a result, we collected 4,303,245 messages generated by 50,781 Facebook users. For the current study, a subset of the data was used to test the assumed relations. From content analyses based on speech act theories, the study found that the level of group openness affected the use of speech acts: participants used expressive speech acts in secret group setting more than in other group settings. In addition, education level, gender, age and region were all found to be influential on the use of speech acts. Moreover, the current study developed several categories for expressive speech act due to its overwhelming use and found that group openness, gender, age and region were associated with the use of speech acts.

Panel Discussion 3Disaster, Crisis, organizations & Social network Analysis

1st day October 29 (Thursday) / Honeymoon Hall, Susung Hotel

16:20-18:00 1 Structural Effects of Interorganizational Collaboration Network on Disaster Resilience

Kyujin Jung (Tennessee State University, USA)

2 If it had informed : (Un)openness of contagious MERS disease information

Ho Young Yoon (University of Wisconsin-Madison, USA)

3 Global Civil Society from Hyperlink Perspective: Exploring the Online Networks of International NGOs

Harald Meier (Digital Space Lab, Germany)

4 Why so serious?: Stakeholders and bystanders of the Volkswagen scandal on Facebook

Kyujin Jung (Tennessee State University, USA)

Chair : Marc Smith (Connected Action Consulting Group)

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Presenter 1

Kyujin Jung(Tennessee State University, USA)

Kyujin Jung, Ph.D., is an Assistant Professor in the Department of Public Administration at Tennessee State University. His research has appeared in Public Administration Review, Local Government Studies, Government Information Quarterly and Quality & Quantity. He has performed the Quick Response Grant Research funded by the National Science Foundation to investigate interorganizational collaboration and the IBM Center for the Business of Government-funded research to study effective leadership in public service collaboration. His research interests include interorganizational arrangements, social network analysis, and issues related to metropolitan governance. E-mail: [email protected]

119


Structural Effects of Interorganizational CollaborationNetwork on Disaster Resilience

Kyujin Jung, Ph.D.Assistant Professor

Department of Public AdministrationTennessee State UniversityE-mail: [email protected]

Abstract

This research aims to examine the evolution of interorganizational networks emerged from the Southeastern region of Korean Peninsula. This research was conducted at the organization level to explain how the typhoons change joint coordination efforts contributing to community resiliency. The research is intentionally designed to test two general hypotheses: bonding and bridging effects. While the former illustrates the importance of trust and information redundancy to coordinate and align emergency preparedness and response, the latter captures the tendency for local actors to seek dominant partners in order to bridge crucial information across the region. During the field work, a structured survey instrument to 159 organizations was administered in order to compare interorganizational networks that emerge before and after the disasters. First, interorganizational collaboration for enhancing community resiliency proposes the importance of bilateral aids rather than unilateral. Sine interdependency offers the potential benefits to reduce conflicts among local organizations as well as across the sector, self-organizing EM networks are more likely to consist of reciprocal collaboration that enhance community resiliency. Second, direct collaborative ties with other organizations generate structural benefits derived from close-knit EM networks. Formulating a clustered structure in efforts to enhance community resiliency not only provides associational benefits such as reputation, knowledge, and institutional norms.

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Presenter 2

Ho Young Yoon(University of Wisconsin-Madison, USA)

Ho Young Yoon is a PhD candidate , Department of Journalism & Mass Communication, University of Wisconsin-Madison. His interests include the political impacts of new media with comparative perspective as the interactions between political institutions, civil society, and news media & network analysis, agent-based model.

121


If it had informed :(Un)openness of contagious MERS disease information

Ho Young YoonUniversity of Wisconsin-Madison, USA

E-mail: [email protected]

Abstract

The purpose of this study is to underscore openness of risk information, particularly contagious disease. In order to do so, the study assesses the cost of concealed contagious disease information and its consequences from the recent MERS (Middle East Repository Syndrome) case in Korea.Although there have been studies on the importance of vaccination regarding contagious disease or of risk information regarding disaster, there are also the paucity of study on risk information about contagious disease, which more or less follows the logic of disaster information but the consequence of fatal health disease. Hence, this study will contribute both of communication literature. Since the MERS case in Korea has developed from unopenness to openness of infected hospitals, it provides a unique opportunity to evaluate the best and worst scenarios regarding MERS contagion around the hospitals. It also provide the opportunity to compare these scenarios with the real case. The study employs individual-based modeling method to simulate the two scenarios. The best scenario assume the complete openness of information about the infected hospitals whereas the worst scenario assume the complete unopenness of the information. Following the previous studies used individual-agent based modeling in contagious disease study, the study assumes the agents in the scenarios are moving around home, workplace (or school), and hospitals. And the contagion mainly occurs at hospitals and home, which is in fact the way that MERS has spread out.The study result will show the openness of risk information is highly beneficial to prevent the spread of disease and its consequences both medically and societally.

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Presenter 3

Harald Meier(Digital Space Lab, Germany)

Harald Meier is a Diploma-Geographer who graduated from the Department of Geography at the University of Müunster, Germany, in 2010. His diploma thesis offered a new approach to world city network research and eventually he founded the Digital Space Lab in 2011 where he conducts social network analyses with a special focus on the spatial configurations of online networks. He takes special research interest into economic sector and production network analysis of the global economy. In 2014 Harald has teamed up with the Globalization and World Cities Research Network to promote his research project “Hyperlink Network Geographies”.

123


Global Civil Society from Hyperlink Perspective:Exploring the Online Networks of International NGOs

Harald MeierDigital Space Lab, Germany

Email: [email protected]

Abstract

A hyperlink network analysis is a simple methodology to gather basic network knowledge from a group of websites. By applying methods of social network analysis to a vast number of hyperlink connections, group-specific network structures, linking patterns and dynamics may be discovered. This case study takes a look at the online networks of 367 international non-governmental organizations (NGOs) with datasets from 2010, 2012 and 2014. The first level of evaluation focuses on connections between the NGOs, identifying important nodes, groups and their relations. The second level takes into account the broad range of networked websites from the World Wide Web delivering insights into general networking strategies. The third level explores the underlying spatial configurations which offers a great variety of geographic insights on information flows between and within continents, countries and cities. The most interesting findings of this study are a low level of interconnectedness between the NGOs and at the same time a strong spatial concentration of all embedded network actors. The here presented approach may contribute valuable information for researchers concerned with discourses on globalization. But it also provides practical knowledge for business strategists, social media experts and search engine optimizers, especially when applying this analytic framework to the economic sector.

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Presenter 4

Kyujin Jung(Tennessee State University, USA)

Kyujin Jung, Ph.D., is an Assistant Professor in the Department of Public Administration at Tennessee State University. His research has appeared in Public Administration Review, Local Government Studies, Government Information Quarterly and Quality & Quantity. He has performed the Quick Response Grant Research funded by the National Science Foundation to investigate interorganizational collaboration and the IBM Center for the Business of Government-funded research to study effective leadership in public service collaboration. His research interests include interorganizational arrangements, social network analysis, and issues related to metropolitan governance. E-mail: [email protected]

125


Why so serious?: Stakeholders and bystanders of theVolkswagen scandal on Facebook

Kyujin Jung, Ph.D.Assistant Professor

Department of Public AdministrationTennessee State University, USA

E-mail: [email protected]

Abstract

Under an unexpected overwhelming scandal that a credible provider had cheated on regulations, there is an increasingly urgent need for effective interpersonal communication. While much has focused on the nature of interpersonal communication on social media led to social change, few have investigated the patterns and structures of interactions between stakeholders and bystanders engaged in the scandal. On September 18 2015, the United States Environmental Protection Agency issued a notice of violation of Clean Air Act to Volkswagen Group of America, Inc. The Notice declares that diesel cars produced by Volkswagen from 2009 to 2015 include inappropriate software in order to circumvent the United States’ emission standards for air pollutants. This research is systemically designed to examine the evolutionary structures of interpersonal issue networks on social media by focusing on the Volkswagen scandal on Facebook. The interpersonal network is emerged and evolved to build a discourse on issues of stakeholders and bystanders. By using a longitudinal data collected from the Volkswagen USA’s Facebook page between September 14 and 22 2015, this research tests four hypothesized network structures, which are reciprocity, transitivity, popularity, and activity and then assess the evolution of interpersonal issue networks with keywords. The results of exponential random graph models, analyzing 10321 actors engaged in the scandal, show that interpersonal issue networks on social media have evolved overtime into a set of reciprocal relations and stakeholders transmitting critical information to bystanders. The findings imply that stakeholders who have Volkswagen’s cars and stocks play a critical role in placating the scandal by mutually interacting with diverse bystanders on social media. Keywords : interpersonal issue network, Volkswagen, stakeholders, bystanders

Panel Discussion 4Triple Helix Approaches

2nd day October 30 (friday) / Honeymoon Hall, Susung Hotel

10:40-12:00 1 A comparative study of university-industry collaborations in China and the USA

Ping Zhou (Zhejiang University, China) Robert Tijssen (Leiden University, The Netherlands) Loet Leydesdorff (University of Amsterdam, The Netherlands)

2 The Caching-Up Patterns of China-based Pharmaceutical Industry: Is it a Catching-up Trend in the Collaborative Research Activities?

Jae Hwan Park (Middlesex University, UK)Jee Yeon Choi (University of Cambridge, UK)Jin Seok Kim (University of Illinois at Urbana-Champaign, USA)

3 Development Patterns and Trends in the Triple Helix Dynamics of the South Korea’s Innovation System: Based on the Collaboration Network Analysis

Jungwon Yoon (Sogang University, South Korea)Joshua Sungwoo Yang (Yonsei University, South Korea)Han Woo Park (Yeungnam University, South Korea)

4 Complex network analysis on research activity of public research institution

Woo Sung Jung (POSTECH, South Korea)

Chair : Fred Phillips (Yuan Ze University)

128

Presenter 1

Ping Zhou(Department of Information Resource Management, Zhejiang University, China)

Ping Zhou is a professor and team leader in information science at Zhejiang University. She earned her PhD from the University of Amsterdam under the supervision of Professor Loet Leydesdorff and Professor Wolfgang Glänzel. Her first paper co-authored with Professor Leydesdorff entitled “The emergence of China as a leading nation in science” published in Research Policy has been highly cited (189 times times in the ISI domain and 365 times using Google Scholar by 15 July, 2015). She received a certificate of “highly cited author from Mainland China” from Elsevier. Her research interests are mainly in bibliometrics, research evaluation, science and technology management.

Robert Tijssen(Center for Science and Technology Studies (CWTS), Leiden University, The Netherlands)

Dr. Robert Tijssen holds the Chair of Science and Innovation Studies at Leiden University in the Netherlands. He is also professor at Stellenbosch University, South Africa.His current area of research specialization is intersections between science, innovation and higher education systems – focusing mainly on university R&D performance issues and knowledge flows. Robert is contributes to the Leiden Ranking (www.leidenranking.com), as well as the U21 Ranking of National Higher Education Systems, and is one of U-Multirank’s project managers (www.umultirank.org). He is board member of the European Network of Indicator Designers and on the editorial advisory board of the international journal Research Evaluation.Personal web page: http://www.cwts.nl/People/RobertTijssen

Loet Leydesdorff(Amsterdam School of Communication Research (ASCoR), University of Amsterdam, The Netherlands)

Loet Leydesdorff (Ph.D. Sociology, M.A. Philosophy, and M.Sc. Biochemistry) is Professor at the Amsterdam School of Communications Research (ASCoR) of the University of Amsterdam. He is Honorary Professor of the Science and Technology Policy Research Unit (SPRU) of the University of Sussex, Visiting Professor of the Institute of Scientific and Technical Information of China (ISTIC) in Beijing, Guest Professor at Zhejiang University in Hangzhou, and Visiting Professor at the School of Management, Birkbeck, University of London. He has published extensively in systems theory, social network analysis, scientometrics, and the sociology of innovation (see at http://www.leydesdorff.net/list.htm ). With Henry Etzkowitz, he initiated a series of workshops, conferences, and special issues about the Triple Helix of University-Industry-Government Relations. He received the Derek de Solla Price Award for Scientometrics and Informetrics in 2003 and held “The City of Lausanne” Honor Chair at the School of Economics, Université de Lausanne, in 2005. In 2007, he was Vice-President of the 8th International Conference on Computing Anticipatory Systems (CASYS’07, Liège). In 2014, Thomson Reuters listed him as a highly-cited author (http://highlycited.com).

129


A comparative study of university-industrycollaborations in China and the USA

Ping Zhou

Robert Tijssen

Loet Leydesdorff

Department of Information Resource ManagementZhejiang University, China

E-mail ; [email protected]

Center for Science and Technology Studies (CWTS)Leiden University, The NetherlandsE-mail : [email protected]

Amsterdam School of Communication Research (ASCoR)University of Amsterdam, The Netherlands


Abstract

In this study, we explore performance of Chinese and American universities in collaborating with industry as reflected in co-authoring international publications. Some common points were found, but publication activities are in different fields (i.e., life sciences and natural sciences). Large gaps exist between China and the USA in university-industry collaborations. Productivity of Chinese universities is far lower than that of their counterparts in the USA. Chinese universities are also far less active in collaborating with industry in terms of either publication production or collaboration intensity. In selecting industrial partners, variation exists among Chinese universities, but less so among American universities. Productivity of international publications is highly correlated to research collaboration including university-industry collaboration, but does not necessarily result into a high percentage of university-industry collaborations. In domestic collaboration, distance is not critical for deciding on collaboration relations of universities and firms.

130

Presenter 2

Jae Hwan Park(Middlesex University, UK)

Jee Yeon Choi(University of Cambridge, UK)

Jin Seok Kim(Graduate School of Library and Information Science, University of Illinois at Urbana-Champiagn, USA)

Before joining Middlesex University London, Jae-Hwan was a lead researcher at the Centre for Industrial Sustainability in the University of Cambridge. Currently, with UN ESCAP, he has conducted research projects regarding Ulaanbaatar’s urban development in terms of energy and water. After a few weeks’ fieldwork in Mongolia, Jae-Hwan is creating policy suggestions for Mongolian government based on his own socio-economic conceptual approach called “Hidden Catalyst”. Jae-Hwan has led various UN-funded research projects as a main researcher, in particular focusing on industry sustainability in developing countries. With UNIDO, he is developing a new integrated methodology for measuring economic, environmental and social aspects of manufacturing industry in the ASEAN regions: Thailand, Malaysia, Indonesia, the Philippines and Vietnam. After developing this methodology, Jae-Hwan did fieldwork with other researchers to collect data and to examine the validity of the suggested methodology in the metal, chemical and electronics industries. Jae-Hwan is also developing a learning system for interdisciplinary systems and product/service systems in the context of knowledge co-ordination. His research interests includes knowledge interactions, knowledge diffusion and pharmaceutical industry. He is also research fellow at the Institute for Manufacturing at the University of Cambridge.

Jinseok KimPh.D. student, Graduate School of Library and Information Science, University of Illinois at Urbana-Champiagn (2012~ present)M.A. in Communication, University of Illinols at Urbana-Champaign (2012)B.A. in English Literature, Yonsei University (2001)

131


The Caching-Up Patterns of China-based Pharmaceutical ndustry :Is it a Catching-up Trend in the Collaborative Research Activities?

Jae Hwan Park

Jee Yeon Choi

Jin Seok Kim

Middlesex University, UKE-mail : [email protected]

University of Cambridge, UKE-mail : [email protected]

University of Illinois at Urbana-Champaign, USAE-mail : [email protected]

Abstract

Recently, Chinese industrial development has been transformed from simple R&D and low-value added manufacturing industry to sophisticated R&D and high-value added industry. Among many high-value added industries, the pharmaceutical industry in China has been heavily invested in many aspects, given the potential market expansion, high profits and national healthcare. However, in innovation studies, Chinese pharmaceutical industry has rarely been explored from a catching-up perspective, in particular focusing on China-based institutes, as opposed to Chinese institutes and recent publication data. By comparing five other countries which have high reputation in pharmaceutical industry, such as the USA, Switzerland, France, England, Japan and South Korea, this paper enables readers to see the change of Chinese pharmaceutical industry from various perspectives, such as the degree of international collaboration, the number of collaborators, and the average shortest path during the period between 2008 and 2014. This paper found that although the number of publications of the China-based pharmaceutical industry has dramatically increased, the China-based pharmaceutical industry showed different patterns compared to those of other countries with strong pharmaceutical industry.

132

Presenter 3

JungWon Yoon (Sogang University, South Korea)

Jungwon Yoon is Postdoctoral Fellow of the National Research Foudnation of Korea. She received her Ph.D. in Sociology of Technology and Science from Georgia Institute of Technology, U.S.A. Her recent publications include “The Evolution of South Korea’s Innovation System: Moving towards the Triple Helix Model?” (2015) and “The Bio-politics of Reproduction Technologies in Modern Korea, 1960-1990” (2015).

Joshua Sungwoo Yang (Yonsei University, South Korea)

Joshua SungWoo Yang Ph.D. Department of Systems Biology Yonsei University, Seoul South KoreaResearch Professor



133


Development Patterns and Trends in the Triple Helix Dynamics of the South Korea’s Innovation System: Based on the Collaboration Network Analysis

Jung Won Yoon

Joshua Sungwoo Yang

Han Woo Park

Sogang University, South KoreaE-mail : [email protected]

Yonsei University, South KoreaE-mail : [email protected]


Abstract

The South Korea’s innovation system has achieved some promising developments in tandem with rapid economic growth over the last three decades. While the Korean national innovation system (KNIS) has undergone dynamic transformations in a country’s transition to a knowledge-based economy, the collaborations activities among the university, industry, and government (UIG) have largely increased over time. In order to explore the development patterns and trends in the triple helix dynamics of the KNIS, this study focuses on knowledge production activities and collaboration networks of the triple helix actors, using both co-publication and co-patent network analyses. In this study, the triple helix framework is employed to analyze the bilateral and trilateral interactions among three spheres in the development process of the KNIS. The triple helix indicator of UIG relations is particularly useful for examining how effectively main innovation actors work together across institutional boundaries and how innovation system dynamics is evolved within the triple helix network of UIG relations constituting the interaction-based knowledge infrastructure. Although previous studies employed the triple helix model as a framework and methodology to analyze knowledge networks among UIG in the Korean context, their investigations tended to focus on scientific collaboration networks or dynamics of national research systems based on co-authorship relations embedded in scientific publications. In this vein, this study attempts to trace the evolution process of innovation system dynamics in terms of knowledge-based collaboration networks among UIG, considering both scientific and technological inventive collaborations as measured by co-authorships of patents and publications. The research questions of this study

134

shed light on the issues regarding to the structure and dynamics of the KNIS from the triple helix perspective. What are the historical trends and patterns in collaboration activities among UIG in the evolution process of the KNIS? What do the collaboration patterns of UIG in both patent and publication networks reveal? To what extent and how have government science and technology policies affected these patterns? What does the current model of UIG imply in terms of the innovation dynamics in Korea? The collaboration networks analyses particularly focus on the trends in knowledge-production activities of UIG as well as patterns of co-authorships of patents and publications to investigate the extent to which collaborative networks of UIG relations have developed into triple helix configurations. In this study, two sets of data were collected using the Web of sciences provided by the ISI of Thomson-Reuters and the United States Patent and Trademark Office (USPTO) patent database. For the network analyses, we use scientific publications listed in the Science Citation Index (SCI) as a proxy measure to assess the outcome of scientific collaborations and then examine the collaboration patterns of UIG in terms of the share of participation by each sphere in scientific collaboration and the share of publications produced by each sector or sectorial combination. In addition to scientific collaboration, patent statistics retrieved from the USPTO were employed as the measure of technological inventive activities as well as technological collaboration pattern of UIG. Specifically, we use the fields of inventor or assignee in the patent document as the measure for the relationships of collaboration. Based on the data collected, we employ network analyses to provide a vivid picture of collaborative patterns and knowledge networks at institutional levels. This method is based on a social network technique using patent and publication data to detect and interpret the patterns of collaboration ties among innovative actors. The network approach enables us to explore social structure and map the complex web of interactions between them. It has been applied to examine knowledge infrastructure of innovation systems in terms of networks through the use of statistics and visualization. The overall results indicate that the domestic collaboration activities among UIG have noticeably increased in Korea. While the model of innovation systems in Korea has evolved from statistic model towards a triple helix, university has emerged as one of major innovation performers with an increase in research capabilities. Since academic research was invigorated by government policy programs in 2000s conducive to promotion of basic research and its commercial exploitation, university became an important R&D partner for enterprises and government. However, the collaboration patterns of UIG in science and technology seem to appear differently. As the number of university-authored SCI publications has skyrocketed largely due to the government R&D programs, scientific collaborations between university and government have been increasing more rapidly than university-industry collaborations. By contrast, technological inventive collaborations between university and industry have been largely increasing due to the remarkably growing patenting activities of universities under a Korean version of the US Bayh-Dole Act, ‘the Promotion of Technology Transfer Act of 2000.’ The result reflects the focus of government strategies on patenting in university-industry collaborations, not publishing scientific publications. According to network analyses, scientific collaborations between government and university as well as technological

135


collaborations between industry and university have been prevalent in Korea, constructing large-scaled and high density networks among UIG. As the KNIS has experienced dynamic transformations in terms of its structure and dynamics, there is a shift from bilateral to trilateral interactions among main innovation actors, from single and double helixes to a triple helix of UIG. The trilateral collaboration has emerged from overlapping institutional spheres, but it has been a rather rare occurrence. Although Korea has finally reached the triple helix regime, its current UIG model seems to just enter the initial level of the triple helix. Despite the rise of the tripartite collaborations in science and technology along with the emergence of entrepreneur universities, the triple helix model has not been fully established yet. However, the findings of this study also provide some policy implications. In so far as government funds for R&D cooperative projects have continued to increase rapidly, scientific and technological collaborations among UIG may be triggered and fostered by government R&D programs in most cases. Given that government interventions have been influential in the development of the KNIS by guiding and allocating R&D resources, the role of government may be still influential rather than lessened in the TH model in Korea. In this regard, the important policy issue may be raised for the Korean model of innovation in the near future: how to promote voluntary collaborations among main innovation actors in the KNIS.

Keywords : South Korea, Innovation System, Triple Helix, Collaboration Networks

136

Presenter 4

Woo-Sung Jung(Pohang University of Science and Technology (POSTECH), South Korea)

Hyeonchae Yang(Pohang University of Science and Technology (POSTECH), South Korea)

Pohang University of Science and Technology (POSTECH)Associate Professor, Department of Industrial and Management & Department of PhysicsDirector, POSTECH Entrepreneurship and Education Development CenterDirector, POSTECH R&D Strategy and Policy Research Institute

Ph.D. in Physics, KAIST (2006)Postdoctoral Researcher, Boston University (2006-2008)Assistant, Associate Professor, POSTECH (2008-present)

Ph.D. Candidate in Graduate Program for Technology & Innovation Management at Pohang University of Science and Technology (POSTECH), PresentMaster’s degree in Computer Engineering at Ewha Womans University, 2008Bachelor’s degree in Computer Engineering at Ewha Womans University, 2006

137


Complex network analysis on researchactivity of public research institution

Woo-Sung Jung

Hyeonchae Yang

Pohang University of Science and Technology (POSTECH), South KoreaE-mail : [email protected]

Pohang University of Science and Technology (POSTECH), South Korea E-mail : [email protected]

Abstract

We investigate the research activities of the public research institutes in Korea. We analyze the diagnosis thematic balance of the activities from the complex systems perspective. The injection points of energy to steer sub-organizational network is estimated. We also study thematic dependencies of the institutions. The developmental dynamics of disciplines and the different concentrated areas by different organizations are investigated. In this study, we track the developmental trajectories of the research organization and provide the quantitative information for the research management.

Panel Discussion 5Scientometrics & Semantic Network Analysis


14:00 - 15:20 1 The Influence of International Knowledge Networks on the Innovation Performance of Medical Devices Clusters: A Bibliometrics Approach

Pieter E. Stek (Delft University of Technology, The Netherlands)

2 Detecting Emerging Research Topics by Utilizing Novel Big Data

Youngim Jung (KISTI, South Korea)Seonheui Choi (KISTI, South Korea)Jinseop Shin (KISTI, South Korea)

3 Patent Network Analysis Based on Citation

Gabjin Oh (Chosun University, South Korea)

4 A vector for identifying “sleeping beauties” and “flashes in the pan” in science

Jiang Li (Zhejiang University, China)Chao Min (Nanjing University, China)Jianjun Sun (Nanjing University, China)

5 Exploring the dynamics of scientific collections using a new combination of approaches mixing graph representation and feature selection

Jean Charles Lamirel (University de strasbourg, France)

Chair : Leo Kim (Ars Praxia)

140

Presenter 1

Pieter E. Stek(Delft University of Technology, The Netherlands)

Pieter Stek is a doctoral student in the Faculty of Technology, Policy and Management, at Delft University of Technology. Based in Seoul, South Korea, his dissertation research focuses on the influence of international relations on local innovation performance, with a specific focus on bibliometric methods and “responsible industries” such as sustainable energy, health and medical technologies. Pieter holds a M.Sc. (Civil Engineering & Management) from the University of Twente and a Master of International Relations from Yonsei University and has worked in higher education internationalization, both as an administrator and consultant. Currently he is also adjunct lecturer at Myongji University in Seoul.

141


The Influence of International Knowledge Networks on the Innovation Performance of Medical Devices Clusters : A Bibliometrics Approach

Pieter E. StekDelft University of Technology, The Netherlands


Abstract

The innovation output of the medical devices sector has rapidly expanded during the past decade-and-a half as private and public-sector investment have increased. Using a quantitative model based on bibliometric data, this study identifies clusters and explores the influence of global knowledge networks on innovation performance. By extracting innovation input and output indicators from the bibliometric data (patent applications and scientific publications) and various forms of co-authorship or assignee-inventor relationships, a model of cluster innovation performance is constructed that incorporated input, output and knowledge network indicators. The estimation results of this model suggests that both agglomeration effects and relational proximity influence innovation performance, and that this occurs in a non-linear way. A number of practical conclusions can also be drawn based on the results.

142

Presenter 2

Youngim Jung(KISTI(Korea Institute of Science and Technology Information), South Korea)

Education2004 Master degree in Cognitive Science, Pusan National University2009 PhD. degree in Computer Science and Engineering, Pusan National University

Work Experience2007-2009 Lecturer, Pusan National University2009- present Senior Researcher, KISTI 2015- present International Advisory Committee, COUNTER

Research Field : NLP, Scientometrics, Library & Information Science

Seon Heui CHOI(KISTI(Korea Institute of Science and Technology Information), South Korea)

Jinseop Shin(KISTI(Korea Institute of Science and Technology Information), South Korea)

Present position : Chief / Principal Researcher, Dept. of Domestic Information, Information Service CenterKISTI(Korea Institute of Science and Technology Information)245 Daehak-ro, Yuseong-gu, Daejeon, Korea, 305-806Office Phone : +82-42-869-1748 Fax : +82-42-869-1740Email Address : [email protected]

Education1992 Bachelor of Humanities, Yonsei University, Graduation Date: Feb 1992

Major:Library & Information Science1995 Master of Humanities, Yonsei University Graduate School, GraduationDate:Feb 1995

Major:Library & Information Science2010 PhD. Coursework completed Yonsei University Graduate School PhD, Course

Major:Library & Information Science

Work ExperienceKISTI : Researcher 1995- 2001

Senior Researcher 2002- 2012 Principal Researcher 2013- present

Chongjun University : Lecturer 2004 Chungnam National University : Lecturer 2008

Awards and HonorsKISTI : Outstanding Researcher, 2008Korea Special Library Association : Achievement Award, 20092013 Best Paper Award, International Conference on Convergence Contents. Okinawa, Japan. December 2013

Education2010.09.01. - Present Ph.D. Candidate in Knowledge Service Engineering, KAIST2002.03.02. - 2005.02.25. Master, Computer Science, Chungnam National University1998.03.02. - 2000.08.25. Mster, Chemistry, Chungnam National University

Career details2005.06.20. - Present Senior Researcher, KISTI(Korea Institute of Science and Technology Information)2000.05.17. - 2005.04.15. CEO, KINFOX

Research Field : Scientific Data Curation

143


Detecting Emerging Research Topics by Utilizing Novel Big Data

Youngim Jung, Seonheui Choi, Jin-seop ShinKorea Institute of Science and Technology Information(KISTI), South Korea

E-mail : {acorn, sunny.choi, js.shin}@kisti.re.kr

Abstract

Citation has been main resource for researchers in Bibliometrics, Scientometrics and other related fields. With citation data, the impact of the research journals, researchers and the competency of university around the world are measured. The application of citation data has been expanded to detect the emerging research topics or technologies as well. However, given that citations need time to accrue, they are not the best indicator of important recent work. In response, usage data regarding article downloads, HTML views and the social network service (SNS) mentions are considered as valuable, and complement to traditional citation-based metrics. This study aims to explore the possibilities of usage data and SNS data for detecting emerging research topics. In addition, we apply the outlier detection techniques to large-scale usage statistics regarding article downloads and HTML views. As a result, the advantages and weakness of each data have been examined and the unexpected usage peaks in time-series data have been observed. We have discussed the outliers as emerging interests on the particular research topics in the social context.

Keywords : Emerging Research Topics, Outlier Detection, Altmetrics, Research Trend, Usage-based Forecasting

144

Presenter 3

Gabjin Oh (Chosun University, South Korea)

Hoyong Kim (Chosun University, South Korea)

Educationㆍ‌ Ph. D., in Physics, 2008 - Pohang University of Science and Technology, Republic of Koreaㆍ‌ B. S., in Physics, 2001 - Korea University, Republic of Korea

Selected Publicationsㆍ‌ Gabjin oh, Ho-yong Kim, Seok-Won Ahn, Wooseop Kwak, Analyzing the financial crisis using the entropy density function, PHYSICA A Vol 419, pp 464,

2015ㆍ‌ Kyubin Yim, Gabjin Oh, Seunghwan Kim, An analysis of the financial crisis in the KOSPI market using Hurst exponents”, PHYSICA A Vol 410, pp 327,

2014(Corresponding author)ㆍ‌ Gabjin Oh, “Multifractal Analysis of implied volatility in index options”, Journal of the Korean Physical Society, Vol. 64, No. 11, pp. 1751, 2014ㆍ‌ ‌ Gabjin Oh, “Grouping characteristics of industry sectors in financial markets”, PHYSICA A, Vol 395, pp 261, 2014ㆍ‌ Il gu Yi, Gabjin Oh, and Beom Jun Kim, “Fractality of profit landscapes and validation of time series models for stock prices”, Eur. Phys. J. B, Vol 86: 349,

2013 (Corresponding author)ㆍ‌ Gabjin Oh, C. Eom, S. Havlin, W.-S. Jung, F. Wang, H.E. Stanley, and S. Kim, “A multifractal analysis of Asian foreign exchange markets”, The European

Physical Journal B, Vol 85, 2012ㆍ‌ Hongseok Kim, Seunghwan Kim, and Gabjin Oh, “Effects of Modularity in Financial Markets on an Agent Based Model”, Journal of the Korean Physical

Society, Vol. 60, No. 4, pp.1 2012ㆍ‌ Okyu Kwon and Gabjin Oh, “Asymmetric information flow between market index and individual stocks in several stock markets”, EPL, Vol 97, pp

28007, 2012 (Corresponding author)ㆍ‌ Gabjin Oh, C. Eom, F. Wang, W.S. Jung, H.E. Stanley, and S. Kim, “Statistical properties of cross-correlation in the Korean stock market”, The European

Physical Journal B, Vol 79, pp 55, 2011 ㆍ‌ Hongseok Kim, Gabjin Oh, and Seungwan Kim, “Multifractal analysis of the Korean agricultural market”, PHYSICA A VoL 390, PP 4286, 2011

(Corresponding author)ㆍ‌ Seungho Yang, Younhee Lee, Gabjin OH, Jaewook Lee, “ Calibrating parametric exponential Levy models to option market data by incorporating

statistical moments priors”, Expert Systems with Applications Vol 38 PP 4816, 2011 ㆍ‌ UnCheol Lee, Gabjin Oh, Seunghwan Kim, GyuJung Noh, ByungMoon Choi, and George A. Mashour, “Brain Networks maintain a Scale-free

Organization across Consciousness, Anesthesia, And Recovery Evidence for Adaptive Reconfiguration”, Anesthesiology, Vol 113 No 6, 2010

Submitted papersㆍ‌ Seungho Yang and Gabjin Oh, “A Bayesian Estimation of Exponential Levy Models for Implied Volatility Smile”, submitted to Journal of Empirical

Finance (Corresponding Author)ㆍ‌ Ho-Yon Kim and Gabjin Oh, “Measuring systemic risk through contagion effect of industry sector”, submitted to Journal of Banking and Finance

(Corresponding Author)ㆍ‌ Gabjin Oh, “Measuing Volatility clustering behavior in financial market”, submitted to PREㆍ‌ Ho-Yong, Kim, Gabjin Oh, and Okyu Kwon, A causality between fund performance and stock market”, submitted to PHYSICA A. (Corresponding

author)ㆍ‌ Gabjin Oh, Tamina Oh, and Hoyong Kim, and Okyu Kwon, “An information flow among industry sectors in Korean stock markete”, submitted to JKPS

Working papersㆍ‌ Gabjin Oh, Hyeongsop Shim, and Yong-Cheol Kim, “Canary in a coal mine-Analysis of Systemic Risk”, (2014)ㆍ‌ Gabjin Oh and Woo Cheol Jun, “Measuring similarity between trend behaviors of multivariate time series”, (2014)ㆍ‌ Kyubin Yim, Gabjin Oh, and Seunghwan Kim, “Understanding financial market states using Artificial double auction market”, (2014) (Corresponding

author)ㆍ‌ Hongseok Kim, Kyubin Yim, Seunghwan Kim, and Gabjin Oh, “Multifractal analysis of the Korean fund market”, (2014) (Corresponding author)

Selected Conference PresentationsHo-yong Kim, J. Moon, Gabjin OH, Study on statistical properties in Korean stock market, 2014 International Industrial Information systems conference, (2014)ㆍ‌ Gabjin OH, Portfolio, selection suing complex network, Sigmaphi (2014)ㆍ‌ Ho-Yong Kim and Gabjin Oh, “measuring systemic risk through contagion effect of industry sector”, INFINITI (2014)ㆍ‌ Gabjin OH, “systemic risk, financial crisis and vulnerability of economy”, 2013 FMA (2013)ㆍ‌ Gabjin OH, “measuring systemic risk through contagion effect of industry sector”, Econophysics colloquium 2013 (2013)

Honors and Rewardsㆍ‌ Best Paper Awards, Korean Physics Society (KPS), 2014

Selected Work Experienceㆍ‌ 2008.3 - 2010.3, POSTECH, Department of Mathematics (PMI), postdoctoral researcher

Division of Business Administration, College of BusinessChosun UniversityGwangju 501-759, Republic of Korea

145


Patent Network Analysis Based on Citation

Gabjin Oh, Ho-Yong KimDivision of Business Administration, Chosun University

Gwangju 501-759, South KoreaEmail : [email protected]

Abstract

In this paper, we construct the patent network based on the citing-cited relations between patents and analyze the properties of patent network from January 1976 to December 2005. We find that the quantities, including the properties of patent network based on complex network approach, change over time. In particular, the average shortest path length and betweenness centrality shows a positive relation with time, whereas the average closed centrality decreases. This indicates that the innovation of technologies is progressing increasingly.

Keywords : Patent, complex network, technological innovation

146

Presenter 4

Jiang Li(Zhejiang University, China)

Chao Min(Nanjing University, China)

Jianjun Sun(Nanjing University, China)

Jiang Li is an associate professor of Information Science at Zhejiang University. He received his PhD from Nanjing University in 2010. He was a visiting student at the University of Sheffield during 2008-2009. His research interest includes the phenomenon of sleeping beauties and flashes in the pan, interdisciplinarity of China’s humanities and social sciences, etc. E-mail : [email protected]

Chao Min is currently a doctoral student at Nanjing University. His research interest includes bibliometric and data mining.E-mail : [email protected]

Jianjun Sun is a professor of Information Science at Nanjing University. His has been focusing on Webometrics and web information resource management. He is an outstanding professor in the field of library and information science, and was selected as the “Yangzi River Scholar” in 2014.E-mail : [email protected]

147


Interdisciplinarity of China’s humanities and social sciences:A big-data perspective

Jiang Li

Chao Min

Jianjun Sun

Dr. and Associate Professor of Information Science Dept. Information Resource Management, Zhejiang University, China


Doctoral Student, Nanjing University, ChinaE-mail : [email protected]

Professor of Information Science, Nanjing University, ChinaE-mail : [email protected]

Abstract

Diachronous studies of obsolescence categorized articles into three general types: “flashes in the pan”, “sleeping beauties” and “normal articles”, by using quartiles to identify first 25% and last 75% articles reaching 50% of their total citations, or by using averages to define threshold values of sleeping and awakening periods. However, the average-based and quartile-based criterions, sometimes, less effectively distinguished “flashes in the pan” and “sleeping beauties” from normal articles. In this research, we proposed a vector for measuring obsolescence of scientific articles, as an alternative to these criterions. The obsolescence vector is designed as O = (Gs, A-, n), where n is the age of an article, Gs and A-areparametersforrevealingtheshapeofcitationcurves.AmongNobellaureates’28,340articles,each of which received over 20 citations, we identified 265 flashes in the pan (approximately1%) and 40 sleeping beauties (approximately0.1%) by the obsolescence vector. By a few case studies, it is verified that obsolescence vector yielded more reasonable classifications than did the average-based and quartile-based criterions.

148

Presenter 5

Jean Charles Lamirel(University of Strasbourg, France)

Dr Habil. Jean-Charles LAMIREL is lecturer since 1997. He is currently teaching Information Science and Computer Science at the

University of Strasbourg and achieving his research at the INRIA laboratory of Nancy. He was a research member of the INRIA-

CORTEX project whose scope is Neural Networks and Biological Systems. He has recently integrated the INRIA TALARIS project

whose main concern is automatic language and text processing, Dr Habil. Jean-Charles LAMIREL main domain of research is

Textual Data Mining based on Neural Networks. He has interests both in theoretical models for Data Mining and Data Mining

applications. Dr Habil. Jean-Charles LAMIREL is more specifically specialized in unsupervised learning methods. He is the creator

of the concept of Data Analysis based on Multiple Viewpoints paradigm (MVDA) which has been fruitfully implemented in the

MultiSOM and MultiGAS models. These models for which it has been theoretically proven that they outperform classical models

begin to be used in many challenging Data Mining applications. Dr Habil. Jean-Charles LAMIREL other main topics of research

concern Knowledge Extraction through numerical approaches, Visualization methods for Data Analysis, Data Analysis methods

Evaluation and Novelty Detection models. Jean-Charles LAMIREL is a member of the COLLNET Informetrics group. He and his

tools have been currently involved in European projects on Webometrics and Data Analysis, like the recent EISCTES project or

PEERE COST action. He is also involved in European project whose focus in Intelligent Recommendation System modeling, like

the Sat-and-Surf ESA project. Dr Habil. JeanCharles LAMIREL takes part in several international collaborations in the domain of

Intelligent Patent Mining, Bioinformatics and Webometrics. He was the organizer of one of the last Informetrics/Scientometrics/

Webometrics conference in Nancy (INIST, 2006), and he is board member of the international Webometrics journal: “Collnet

Journal of Scientometrics and Information Management”. He was managing, in the context of the QUAERO project, the task of

matching patents and bibliographic databases using automatic classification methods specifically adapted to text. This latter

work was operated in collaboration with the French scientific documentation center (INIST) and the JOUVE company. He is

up to now managing the French ISTEX-R action whose role is to provide scientist with diachronic access to heterogeneous

collection of scientific papers.

The research work achieved by Dr Habil. Jean-Charles LAMIREL led to the successful presentation of four different PhD thesis. It

generated an important scientific production: 8 contributions in international journals, 21 invited conferences, the organization

of two international conference, 14 special sessions and 21 session chairs in international conferences, 122 publications in

international conferences, 3 book chapters, 8 publications in national conferences, 5 European project reports. It has also led us

to supervise 9 PhDs and 19 master of research internships for engineers, DEA, or Masters, with a systematic policy of publication

in collaboration with the concerned students. This work also was worth him as a whole the recognition of many prestigious

foreign institutional partners like NIEHS (USA), NSC (Taiwan), KU Leuwen (Belgium), NISTAD (India), and WISELAB (China).

149


Jean-Charles LamirelUniversity of Strasbourg, France


Abstract

The ISTEX project (Excellence Initiative for Scientific and Technical Information) is part of the “Investments for the Future” program initiated by the French Ministry for Higher Education and Research (MESR). The ISTEX project’s main objective is to provide the whole French higher education and research community with online access to retrospective collections of scientific literature in all disciplines by setting up a national document acquisition policy covering journal archives, databases, text corpora etc. The first stage of the ISTEX project relates to a large-scale proactive policy in favor of grouped acquisitions of scientific archives under national licenses. The second stage of the ISTEX project involves setting up the ISTEX platform to host all the data. This platform will host several million of digital documents in all disciplines and will offer varied benefits for users.One of our central concern is then to develop added-value services for highlighting the dynamics of the scientific collections. This paper thus presents a new approach focusing on the exploitation of the querying results issued from ISTEX platform for developing accurate diachronic analysis tools. In such process, querying of bibliographic databases is firstly exploited to provide a thematic corpus of scientific publications over a long time period. Every year is then considered as a specific category. Thanks to a bag-of-words representation of the full-text of the documents abstracts, most significant words of every category are extracted, and furthermore, word-category relationships are represented in a graph whose edges are weighted by a contrast function. In such a way, the most specific and most stable topics of each period can be highlighted allowing non-expert users to appreciate the overall evolution of the queried theme. Our experimental data is a collection of 9801 scientific papers in English language related to gerontology domain published between 1995 and 2010.

Exploring the dynamics of scientific collections using a new combination of approaches mixing graph representation and feature selection

Panel Discussion 6Media & Future Society


15:40 - 17:00 1 A big data approach to news analysis – Australia in Korean online news reporting

Dr Damien Spry (Hanyang University and The University of Sydney, Australia)Timothy Dwyer (The University of Sydney, Australia)

2 20 Years News Frames of Media Coverage of Peace In the United States andChina: A Semantic Network Analysis

Ke Jiang (University of California, Davis, USA)George A. Barnett (University of California, Davis, USA)

3 Audience polarization in actuality: Explaining TV viewing pattern from network analytic approach

Sujin Choi (Kookmin University, South Korea)

4 A Rethink on Media Users in the context of Web 2.0: A Case of Social Media

Sungjoon Lee (Cheongju University, South Korea)

5 The rise of MCN(Multi Channel Network): The coming of the new digital broadcasting ecosystem?

Yooshim Huh (YOUTUBE & GOOGLE PLAY VIDEO - Previously)Han Woo Park (Yeungnam University, South Korea)

Chair : Weiai Wayne Xu (Northeastern University)

152

Presenter 1

Dr Damien Spry(Hanyang University and The University of Sydney, Australia)

Timothy Dwyer(The University of Sydney, Australia)

Damien Spry is Assistant Professor in Communications at Hanyang University and an Honorary Associate at the University of Sydney. His research focuses on global digital societies and international communication, including mobile media and digital diplomacy.

In addition to several academic publications on digital society and soft power, Damien has worked or consulted for numerous clients including Google, Boston Consulting Group, Amnesty International, Greenpeace, Schindlers and the Australian Government. He lives in Seoul with his wife, Wendy, and a crazy Labrador called Max.

Tim Dwyer is Associate Professor in Media and Communications at the University of Sydney. His research focuses on the critical evaluation of media and communications industries, regulation, media ethics and policy. His research also explores how news practices are evolving in multi-platform media organizations, and analyses the implications of these transformations for media diversity and pluralism.

He is the author of Convergent Media and Privacy, Legal and Ethical Issues in the Media; Media Convergence and the co-editor of New Media Worlds: Challenges for Convergence. He is the Degree Director of the Master of Media Practice in the Department of Media and Communications at the University of Sydney, Australia.

153


A big data approach to news analysis –Australia in Korean online news reporting.

Dr Damien Spry

Timothy Dwyer

Hanyang University and The University of Sydney, AustraliaE-mail : [email protected]

Associate Professor, The University of Sydney, AustraliaE-mail : [email protected]

This project is supported by the Australia-Korea Foundation, a division of the Department of Foreign

Affairs and Trade, Federal Government of Australia.

Abstract

The paper uses analytical software (Leximancer and KrKwik) to develop thematic and contextual analysis to explore and evaluate the representation of Australia in popular South Korean online news media sources.

This is an exploratory content analysis of news reporting on Australia in key Korean digital news media providers (Yonhap, Chosun, Jogang and Oh My News) and distributors/social networks (Daum and Naver) over a six-month-period (October 2014 – April 2015). During this time, certain key events occurred that drew Korean news media attention to Australia, including Free Trade Agreement negotiations, a G20 Leaders meeting in Brisbane, Australia, the Asian Football Cup hosted in Australia, and a high profile attack on people (including one, thankfully unharmed, Korean citizen) in a Sydney café that lead to the shooting deaths of two hostages and the hostage-taker.

The research aimed to address the fundamental question: what forms and patterns of representation of Australia are present in South Korean online news media? It is designed in a large part to inform public agencies, private interests and the general public about the ways in which Australia is present as a theme in Korean online news, and how this theme is contextualised by associated topics, such as trade, security, or tourism.

This presentation also summarises the difficulties in developing research tools that can usefully analyse textual content from two very different languages, outlines the approach taken on this occasion and offers some suggestions for aspiring researchers in this area.

154

Ke Jiang(University of California, Davis, USA)

George A. Barnett(University of California, Davis, USA)

Ke Jiang (江珂) is a Ph.D. candidate in the department of Communication at University of California, Davis. Her research focuses on communication network analysis, network dynamics, network visualization, intercultural communication, and cultural convergence. She also examines Guanxi network that is a special form of social network in China manifesting itself as a mixture of sentimental, instrumental and obligational ties.

George A. Barnett received his B.A. and M.A. in Sociology at the University of Illinois–Urbana, and his Ph.D. in Communication from Michigan State University. He is Distinguished Professor of Communication at the University of California at Davis. He previously taught at Rensselaer Polytechnic Institute, State University of New York at Buffalo, University of Texas, and University of Maryland. Currently, he is a Visiting Professor at the University of Science and Technology of China in Hefei, Anhui. Professor Barnett has served as Chair of the Communication and Technology Division of the International Communication Association, and President of the International Network for Social Network Analysis (INSNA). He edited the Handbook of Organizational Communication, Organization <-> Communication: Emerging Perspectives, Advances in Communication Sciences, The Diffusion of Innovation: A Communication Science Perspective, and Encyclopedia of Social Networks. He has authored over 100 articles on. social and communication networks, how they change over time as a function of perturbations to the system in which they are are embedded. This research has led to the development of methods and tools for the examination of social network evolution. Substantively, he studies interna tional networks emphasizing telecommunications and its role in the process of globalization.

Presenter 2

155


20 Years News Frames of Media Coverage of Peace In the United States and China: A Semantic Network Analysis

Ke Jiang

George A. Barnett

Department of CommunicationUniversity of California, Davis, USA


Department of CommunicationUniversity of California, Davis, USA


Abstract

This paper conducts a longitudinal semantic network analysis to investigate how national culture shapes the news frames of media coverage of peace in the United States and China, and how international trade co-evolves with the news frames employed by news sources in the two nations. Specifically, this paper analyzed news coverage of peace from The Associated Press (AP) and Xinhua News Agency (XH) from 1995 to 2014. Directional semantic matrices of news coverage of peace from the two news sources were generated. Through examining network modularity, concept centralities and associations, this paper found that the cultural frames of news coverage of peace were relatively stable overtime. While the concepts relating to “Violence”and “War”were more central in semantic networks of news coverage of peace in AP, indicating America’ emphasis of war-culture; the concepts relating to “Cooperation”and “Development”were more central in semantic networks of news coverage of peace in XH, indicating China’ emphasis of harmony-culture. However, differences in the news frames of peace decreased overtime. Through the analysis of the co-evolution of the semantic network of news coverage of peace with global trade network, the impacts of global interdependence on the convergence of news reporting were discussed.

156

Presenter 3

Sujin Choi, PhD(Assistant Professor, School of Communication, Kookmin University, South Korea)

Sujin Choi is an assistant professor of the School of Communication at Kookmin University, Seoul, Korea. She is interested in the flow of information mediated by digital technologies and its political and socio-cultural consequences. These topics are covered by her research areas such as computer-mediated communication, social network analysis, and relevant policy issues on broadband and digital inequality. Her work appears in academic journals such as Human Communication Research, New Media & Society, and the Journal of the American Society for Information Science and Technology.

157


Audience polarization in actuality: Explaining TV viewing pattern from network analytic approach

Sujin Choi

Assistant Professor, School of Communication,Kookmin University, Seoul, Korea


Abstract

This study examines the effects of sociodemographic and structural similarities on viewing pattern similarity through conducting a network analysis on people-meter data. Results suggest that similarities in time spent viewing and multichannel subscribership remain more important in predicting viewing pattern similarity in general and by channel type. People who spent similar amount of time watching television tended to have similar viewing pattern. Both multichannel subscribers and non-subscribers tended to watch network channels. The two groups had different viewing patterns for only entertainment-oriented content. The findings provide theoretical implications for audience polarization and methodological implications of network analysis in audience research.

158

Presenter 4

Sungjoon Lee(Cheongju University, South Korea)

Sungjoon Lee has received his PhD from the State University of New York at Buffalo, and is currently an assistant professor at the department of journalism and communication studies at Cheongju University, South Korea. He also worked as a policy researcher at Korea Educational Broadcasting System. His research has been published in the Asian Journal of Communication, Telematics and Informatics, Cyberpsychology, Behavior and Social Networking, among others. His current research interests focus on the areas of technology adoption, social and semantic networks, media policies, and meta-analysis of communication scholarship.

159


A Rethink on Media Users in the context of Web 2.0: A Case of Social Media

Sungjoon Lee

Ph. D, Assistant ProfessorDepartment of Journalism and Communication Studies

Cheongju University, South KoreaE-mail : [email protected]

Abstract

This research has two major aims. First, this study tries to answer the question about how “media use” can be conceptualized in the context of web 2.0 where users are not simply passive. An extensive review of previous literature on the changing concepts of audiences or users is undertaken in this regard. In especial, the issue of “activity” of audience in the use of technologies with Web 2.0 features is revisited as opposed to “passiveness”. Second, the current study identifies several determinants including personal traits(HEXACO model), motivation and technostress, which may affect the newly conceptualized “media use” by looking at a case of social media. An online survey is conducted and the collected data are analyzed with the hierarchical regression. The results show that the active use in the context of Web 2.0 can be sub-categorized into enhanced control and content creation/individualized use, and these two usages are influenced by different factors in general. The results in this study argue for a clearer conceptualization of “media use” in the future research.

Keywords : Web 2.0, Media Users, Audiences, Conceptualization, Social Media

160

Presenter 5

Yooshim Huh(Previously- Business Development Lead, YOUTUBE & GOOGLE PLAY VIDEO)


Yooshim Huh was Lead, Business Development for YouTube and Google Play Video in Korea. She was responsible for strategic partnerships with broadcasters, film studios, news media and video/social related platforms. Prior to joining Google, She was Head of Entertainment and Content Partnership at Naver Corporation for 11 years, overseeing business development, digital content distribution, strategic partnerships and content acquisitions. She has around 20 years of experience in media, entertainment and digital product businesses. Her broad experience includes launching and managing Joint Venture for video content distribution over digital platforms and cloud based enterprise business.


161


The rise of MCN(Multi Channel Network):The coming of the new digital broadcasting ecosystem?

Yooshim Huh

Han Woo Park

(Previously) Business Development Lead, YOUTUBE & GOOGLE PLAY VIDEO


(Full Professor, Department of Media and Communication,Interdisciplinary Program of East Asian Cultural Studies, Interdisciplinary Program of Digital

Convergence Business, YeungNam University, South Korea) E-mail : [email protected]

Abstract

Networked digital technologies provide new opportunities for individuals who are likely to initiate, make, and spread ideas and activities based on globally distributed social media. YouTube is particularly suitable for disseminating new video clips around the world and reinforcing a strategic alliance between channel managing companies and ProAm (Professional Amateur) producers. In this regard, a new business model MCN (Multi-Channel Network) has been recently developed. This presentation gives some important background information and business insights into the future of broadcasting industry.

Memo

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disc 2015 program book 1102

Data & Analytics