presentation-social academic network ewg-dss

Seminar, November 17, 2009 Uni-Graz, Dep. Statistics & Operations Research

A Collaboration Network for EWG-DSS

Fatima Dargam Rita RibeiroPascale Zaraté

EWG-DSSSocial-AcademicNetwork


The current project is a joint-development

involving ALLALL the Group Members

and the Coordination Board:

Pascale Zaraté Fatima Dargam Rita RibeiroIRIT / INPT - ENSIACET - GI SimTech Simulation Technology UNINOVA - CA3(France) ILTC (Austria / Brazil) (Portugal)


Social Networks

• Represent different real-life communities

• Play an important role in determining:

• the way problems are solved;

• the way organizations are run;

• degree to which individuals succeed in achieving their goals.


Social Networks Analysis

• The attributes of individuals (actors) are less important than their relationships with other actors within the network.

• Focus How the connection structure affects the individuals.

• EWG-DSS Weighted Collaboration / Affiliation Network (authors connected by co-authoring)


104 Members104 Members (as of June 2009)

EWGEWG--DSS members:DSS members:Ana Respício; Antonio Rodrigues; M.Eugênia Captivo; Tei Barnhart; Alexandre Gachet;Antonio Martinez; Albert Angehrn; Alessio Ishizaka; Ana Maria Rosa Borges; ArijitBhattacharya; Barbo Back; Bertrand Mareschal; Boris Delibasic ; C. Makropoulos; Jacques Calmet; Carlos Antunes; Carlos Bana e Costa; Christer Carlsson; Asis Kr. Chattopadhyay; Caludia Loebbecke; Csaba Csaki; Dobrila Petrovic; Dorien De Tombe; Dirk Kenis; Andreas Edelmayer ; Eduardo Natividade Jesus; Fatima Dargam; FréféricAdam; Christophe Fagot; Franck Tetard; Frits Claassen; Frieder Stolzenburg; Peter Gelleri; Gilles Coppin; Inès Saad; Ilya Ashikhmin; Kwakkel Jan; J. Jassbi;TawfikJelassi; Jeremy Forth ; Jorge Souza; Joao Lourenco; Johannes Leitner; Jean Pierre Brans; Jochen Pfalzgraf; Jorge Pinho de Sousa; Jose Vincente Segura; Li Ching Ma; Lourdes Canos; Ladislav Lukas; Marija Najika; Marko Bohannec; Philip Powel; Michael Bruhn Barfod; Miklos Biros; Mikael Mihalevich; Jose Maria Moreno Jimenez; Maria Theiner; Natalio Krasnogor; Nikolaos F. Matsatsinis; Olaf Herden; Paul Hasenohr; Paulo Leonco; Peter Keenan; Philippe Lenca; Pierre Kunsch; Suzanne Pinson; Jean Charles Pomerol; Paulo Ramos; Rita Ribeiro; Caroline Rieder; Rudolf Vetschera; Camille Rosenthal Sabroux; Susanne Stadler ; Frantisek Sudzina; Maria Theiner; Thomas Soboll; Alexis Tsoukias; W. Walker; Yi Yang; Pascale Zaraté; ...

•• many of us … working on Decision Making since 1989many of us … working on Decision Making since 1989

•• Some of the applied DSS developed by the group members:Some of the applied DSS developed by the group members:

Planning Distance Education & Distance Learning; Medical learninPlanning Distance Education & Distance Learning; Medical learning Environment; g Environment; Process Process ModellingModelling Design; Aerospace Knowledge Bases; Validation Requirements; Design; Aerospace Knowledge Bases; Validation Requirements; Social Simulation; Marketing & Production; Forecasting; ScheduliSocial Simulation; Marketing & Production; Forecasting; Scheduling Systems; etc...ng Systems; etc...


•• Collaborative Decision Making (CDM)Collaborative Decision Making (CDM)•• GDSS: GroupGDSS: Group--DM; NDSS: NegotiationDM; NDSS: Negotiation--DM; DM; •• Distributed Models of Decision MakingDistributed Models of Decision Making•• Applications in Collaborative Decision Making & AnalysisApplications in Collaborative Decision Making & Analysis•• Models for Decision Analysis (DA) in Group Decision Making Models for Decision Analysis (DA) in Group Decision Making -- Evaluation of the Collaboration Levels for DM & DAEvaluation of the Collaboration Levels for DM & DA-- Facilitation of Group Coordination and Group CommunicationFacilitation of Group Coordination and Group Communication

•• Knowledge Management & Context supporting Decision MakingKnowledge Management & Context supporting Decision Making•• Knowledge Management as a Collaboration ModelKnowledge Management as a Collaboration Model-- KnowledgeKnowledge--intensive Collaborative Modelsintensive Collaborative Models-- ContextContext--based Decision Systemsbased Decision Systems

•• Network & WebNetwork & Web--based Systemsbased Systems•• NetworkNetwork--based Collaborative Decision Makingbased Collaborative Decision Making•• New Methodologies and Technology for GDSSNew Methodologies and Technology for GDSS

•• Aggregation & Fuzzy Algorithms for Decision MakingAggregation & Fuzzy Algorithms for Decision Making•• KnowledgeKnowledge--Based (Intelligent) Decision SystemsBased (Intelligent) Decision Systems•• Applied Decision Support Systems (including MIS)Applied Decision Support Systems (including MIS)

Main Topics of Research within the Group:Main Topics of Research within the Group:


Motivation:

Main Objectives:Evaluate the group’s collaboration dynamics since its foundation (1989).

As a by-product, we aim to encourage new research and promote further collaboration among the academic members of the group in common projects and joint-publications

Importance and relevance of analysing and representing the

various relationships that academically link the current

104 members of the DSS EURO Working Group

EWG-DSS.


The EWG-DSS Social-Academic Network(the group in focus)

NodesNodes: authors; publications; projects; research areasTies / Relations:Ties / Relations: collaborations; joint-projects; Journal-editions; ...

• Distances among the members of the group.

• Major and minor areasof research concentration& interaction in the group.

• New tendencies & working areas.

• New opportunities for cooperation.


Methodology

Weighted Graphs Methods

Software Frameworks:

NWB Network Workbench

PAJEK Network


Download Source CodeNWB repository: http://nwb.slis.indiana.edu/svn/nwb

http://nwb.slis.indiana.edu/svn/nwb


Pajek is a Windows Program for networks analysis & visualization

Authors: Vladimir Batagelj; Andrej Mrvar & Matjaž Zaveršnik.

Available for non-commercial use:http://pajek.imfm.si/doku.php

Pajek (Spider in Slovene)Program for Large Network Analysis

https://www.fmf.uni-lj.si/si/imenik/2909/

http://mrvar.fdv.uni-lj.si/

https://www.fmf.uni-lj.si/si/imenik/3544/

http://pajek.imfm.si/doku.php?id=download


Initial Implementation Phases

Acquisition & Extraction Processes: Organizing the input data in matrix format:authors x papers, papers x topics

Creating the network input files with nodes and labels

Transformation Process: Using Jaccard Similarity Measure to obtain output files to be analyzed graphically and statistically by Pajek and NWB.


Implementing the Network

The EWG-DSS Network V.1.0 :

Input from 70 EWG-DSS members; Period of 19 years [1989 – 2008];1350 Publications;34 extracted Topics of Research Areas


Ai Author Name Ai Author Name Ai Author NameA1 Arijit Bhattacharya A25 Fréféric Adam A49 Pascale Zaraté

A2 Adla Abdelkader A26 Frieder Stolzenburg A50 Peter Gelleri

A3 Albert A. Angehrn A27 Frits Claassen A51 Peter Keenan

A4 Alessio Ishizaka A28 Ilya Ashikhmin A52 Philip Powel

A5 Alexis Tsoukias A29 Inès Saad A53 Philippe Lenca

A6 Ana Respício A30 J.Jassbi A54 Pierre Kunsch

A7 Antonio Jimenez Martinez A31 Jacques Calmet A55 Rita Ribeiro

A8 Asis Kr. Chattopadhyay A32 Jean Charles Pomerol A56 Rudolf Vetschera

A9 Bertrand Mareschal A33 Jean Pierre Brans A57 Sanja Petrovic

A10 Bojan Srdjevic A34 João Carlos Lourenço A58 Suzanne Pinson

A11 Boris Delibasic A35 Jochen Pfalzgraf A59 Tawfik Jelassi

A12 Caludia Loebbecke A36 Johannes Leitner A60 Thanasis Spyridakos

A13 Camille Rosenthal Sabroux A37 Jorge Freire de Sousa A61 Yi Yang

A14 Carlos Antunes A38 Jorge Pinho de Sousa A62 Thomas Soboll

A15 Carlos Bana e Costa A39 Jose Maria Moreno Jimenez A63 BAZZANA Flavio

A16 Christer Carlsson A40 Ladislav Lukas A64 Guilan Kong

A17 Csaba Csaki A41 Li Ching Ma A65 Jason Papathanasiou

A18 Dirk Kenis A42 Luís Cândido Dias A66 Mikael Mihalevich

A19 Dobrila Petrovic A43 Marko Bohannec A67 Taghezout Noria

A20 Dorien De Tombe A44 Michael Bruhn Barfod A68 Warren Elliott Walker

A21 Eduardo Manuel NatividadeJesus

A45 Miklos Biros A69 José Vicente segura Heras

A22 Fatima Dargam A46 Natalio Krasnogor A70 Antonio Rodrigues

A23 Franck Tetard A47 Nguyen Dinh Pham

A24 Frantisek Sudzina A48 Olaf Herden

70 Authors / Members of the EWG70 Authors / Members of the EWG--DSS:DSS:


# Research Topic # Research Topic1 Business Models 18 Knowledge Management

2 Collaboration Dynamics 19 Multi-Agent Systems

3 Cooperative Decision Support Systems 20 Multiple Criteria Decision Aiding

4 Decision Analysis 21 Management Learning and Decision Making

5 Decision Aiding Process 22 Network

6 Data Mining 23 Operations research

7 Decision Support Systems 24 Preference analysis

8 Evaluation 25 Performance Evaluation

9 E-Business 26 Preference Modelling

10 Entreprise resource Planning 27 Production Planning and Scheduling

11 Expert Systems 28 Supply Chain Management

12 Economic Theory 29 Sustainable Development

13 Fuzzy Sets 30 Social Networks

14 Group Decision and Negotiation 31 Simulation Systems

15 Information Retrieval 32 Systems Software Evaluation and Selection

16 Information Systems 33 Virtual Communities

17Information and Telecommunication Technology

34 Context

34 Topics of Research extracted from the 1350 Publications:34 Topics of Research extracted from the 1350 Publications:


Implementing the NetworkAuthors Publications

P1 P2 .... Pm

A1 APij

A2

....

...

...

An

Boolean Matrix R(A,P) relating authors and their publications.

Pn

...

...

....

P2

PTijP1

Tm....T2T1

TopicsPapers

Boolean Matrix S(P,T) relating publications and their topics.


Implementing the Network


Network VisualizationsVisualization of the Author_AP network, graphically represented in PAJEK.

Ai = Authors; for i = {1,…, 70}


Network Visualizations

Visualization of the Author_AP.net, related by the collaboration in publications.

Network graphically represented in NWB, via the Kamada Kawai algorithm.



NWB Radial Graph Visualization of the Publ_APnetwork, showing the collaboration among the authors, via their joint-publications.

Pj = Publications of the authors

for j = {1,…, 1350}


Network VisualizationsVisualization of the Publ_AP network, graphically represented in PAJEK.


Network VisualizationsVisualization of the Publ_AP represented in PAJEK, with separate components


Visualization of the Topics_AT represented in PAJEK,showing the connections among the 34 topics with relation to the authors’ areas of research.



Network VisualizationsVisualization of the Publ_PT represented in PAJEK, with separate components, showing the relationships among the publications and topics of research

1350 Publications

34 Topics


Network VisualizationsNWB Radial Graph Visualization of the Authors_AT network,

showing the collaboration among the authors, with relation to their common research topics.


The collaboration relationships show:

1. How the members relate to each other in terms of topics of research;

2. What are the most relevant topics of research within in the group;

3. The relevant statistical data concerning our publications

SocialSocial--Academic Network EWGAcademic Network EWG--DSSDSSConcluding RemarksConcluding Remarks


The collaboration relationships also show:

• How many external collaborators (co-authors not in EWG-DSS) exist and indirectly participate in the EWG-DSS

SocialSocial--Academic Network EWGAcademic Network EWG--DSSDSSConcluding RemarksConcluding Remarks


SocialSocial--Academic Network Academic Network -- EWGEWG--DSSDSSConcluding RemarksConcluding Remarks

In further versions of the Network, we aim at:

• Analyze the network with more accurate results, including missing input data

• Encourage the isolated nodes of absent connections to become, at a first stage, nodes of “weak connections” within the net;

• Reduce/eliminate the isolated nodes;

• Bring the external collaborators tothe EWG-DSS Network



powerful tool powerful tool toto

identify the EWGidentify the EWG--DSS group interaction DSS group interaction &&toto

provide a useful feedback for further provide a useful feedback for further collaboration in jointcollaboration in joint--researchresearch



As coordinators, we also encourage other EURO As coordinators, we also encourage other EURO WGsWGs to follow this example and try to identify the to follow this example and try to identify the cooperation of their groups.cooperation of their groups.

••ParticipationParticipation••Research production in jointResearch production in joint--work. work.


EWG-DSS IRIT List-Server


http://ewgdss.wordpress.com/


51 Members…

Join in!


Participate!Participate!


Thanks for your attention!