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Janusz Hołyst

Faculty of Physics, Center of Excellence for ComplexSystems Research

Warsaw University of Technology

jholyst@if.pw.edu.pl

My experiences with FET calls ... andother EU Projects

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1. STREP Coordinator: CREEN (Critical events in evolvingnetworks)

2. STREP Partner: MMCOMNET (Measuring and modelingof complex networks across domains)

3. COST Action: Physics or Risk

4. ESF Grant: STOCHDYN (Stochastic dynamics: fundamentals and applications)

5. Coordination Action: GIACS (Complex systems)

6. Coordination Action: ONCE-CS (Complex sytems)

7. Large-scale integrating project (IP) Collective Emotions in Cyberspace, CYBERCYBEREMOTIONS (FET ICT)

European Projects

in Center of Excellence for Complex Systems Research

Warsaw University of Techology

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Large-scale integrating project (IP) proposalICT Call 3

Collective Emotions in Cyberspace

CYBERCYBER--EMOTIONS

Poland

Germany

Germany

Slovenia

Switzerland

Austria

United Kingdom

Switzerland

Poland

Country

Internet market researchKamila KowalskaGemius SA

Network visualizationMatthias TrierTechnical University Berlin

PsychophysiologyArvid KappasJacobs University, Bremen

Computational physicsBosiljka TadicJozef Stefan Institute, Ljubljana

Complex systems modellingFrank SchweitzerEidgenössische Technische Hochschule Zürich

Artificial intelligenceRobert TrapplÖsterreichische Studiengesellschaft für Kybernetik

WebometricsMichael ThelwallUniversity of Wolverhampton

Computer animationDaniel ThalmannEcole Polytechnique Fédérale de Lausanne

Physics of complex systemsJanusz HolystWarsaw University of Technology

SpecializationLeaderParticipant organisation name

Duration: 48 monthsPersonmonths: 664 (838)EC funding: 3.6 (4.3) M€

Main aims

• to understand the process of collective emotions formation in e-communities

• to create decentralized adaptive tools to amplify positive or suppress negative collective emotions ine-societies

• to stabilize different ICT services by predicting negative emotions & minimizing their effects (long)

• to create theoretical background for the development of the next generation emotionally-intelligentICT services using universal methods of complex systems (long).

CYBEREMOTIONS = CYBEREMOTIONS = CYBEREMOTIONS = CYBEREMOTIONS = data data data data gatheringgatheringgatheringgathering + + + + complex systems methods + + + + ICT ICT ICT ICT outputsoutputsoutputsoutputs

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Objective ICT-2007.8.4:

FET proactive 4:

Science of complex systems for

socially intelligent ICT

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A previous proposal... • Proposal Form Part B• Stochastic Phenomena in Wireless Sensor Networks• STOPIN

• Date of preparation 2005-09-09• Type of instrument STREP

• Activity code addressed FP6-2005-IST-5• Duration of the project 36 months• Co-ordinator Prof. HOLYST Janusz• List of participants • Warsaw University of Technology, WarsawPoland• University of LübeckI, Lübeck, Germany• University of Antwerp, Antwerp.Belgium• University of East Anglia, NorwichUnited Kingdom• Co-ordinator e-mail jholyst@if.pw.edu.pl• Co-ordinator fax +48 22 628-2171

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A previous proposal...• SIXTH FRAMEWORK PROGRAMME•

• 1. Specific programme: Integrating and Strengthening the European Research Area

• 2. Thematic priority/domain: Information Society Technologies (IST)• 3. Call title: Future and Emerging Technologies – Open Domain

(Continuous Submission)• 4. Call identifier: FP6-2002-IST-C• SPECIFIC TARGETED RESEARCH OR INNOVATION PROJECT

• Proposal Part B

• Project acronym: EPIS• Project full title: Epidemic Information Spreading in Self-Organized

Mobile Ad Hoc and Peer-to-Peer Networks• Date of preparation: 19 September 2005

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A previous proposal...

• Proposal Form Part B• Adaptation, Prediction and Anticipation in Complex Systems • APACOS• Date of preparation 2006-02-01• Type of instrument STREP• Submission stage FULL proposal• Activity code addressed NEST-2005-Path-COM• Duration of the project 36 months• Coordinator name Prof. HOLYST Janusz• Coordinator email jholyst@if.pw.edu.pl• Coordinator fax + 48 22 660 5808

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• A need for cyberemotions research due to growing role of ICT-mediated social interactions and some specific attributes of e-communities.

� Data on human emotions and their influence on the structure of sustainable cooperative communities will be collected from: - psychophysiological experiments, - blogosphere, newsgroups and Internet discussion forums.The data will be compared to comp. simulat. based on active agent models.

� Research tools consist of combination of methods and paradigms taken fromvarious domains:

- psychological models of emotional interactions- algorithms for detection/classification of human emotions in the Internet- data driven simulations based on heterogeneous emotionally-reacting agents - methods of statistical physics (fluctuation-dissip. theorem, Onsager relations) - sociophysics models (eg. bounded confidence, events cascades) - self-organized evolving networks.

Expected impact

• new classes of realistic models of emotionally reacting users

• new kind of intellgent self-adapting programms, cyber-tutors, cyber-advisors for e-communities

• strengthening societal ties in the intercultural and multinational European Community (long).

Joy

Anger

Surprise

Relax

Depression

Emotions - processes that relate to responses to events of personalrelevance. They are influenced by cultural and social context and biologicalconstraints. At the individual level these processes manifest themselves atphysiological, behavioral, and subjective levels. We are interested not onlyin individual emotions, but also in emerging properties of emotions ingroups at different levels of resolution.

Project features

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Basis of conceptual and methodological approach - complex systems

Theoretical and algorithmics foundations:

•Multi-level emotions analysis; •micro: cyber-physiological observations of individualemotions,

•meso: collective and group based emotions in variouse-communities,

•Macro: emergence of economical or social crisis e.g. changes in trends of Apple shares dynamics due to (possible) messages/gossips on new ipods.

•Group feedback mechanism, interactions betweenusers and online contents, self-organisation, andhierarchical structure of socio-technical networks.

micro

meso

macro

Data driven simulations:

Heterogeneous active agents models based on: (1) emotions observed in psycho-physiological data; (2) data on emotions received from blogs, newsgroups

and forums;

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WP2 - Emotionally reacting active agents

• Virtual Society composed of Virtual Agents, capable of reactions, emotions, and social behaviour

• four modules: o perception, o generation of emotions,o selection of behaviours o execution of actions

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Virtual Society and crowd• Modelling social behaviour

using interpersonal relationships and nonverbal communication

• Virtual agents will interact by adopting postures in response to postures of others.

• Virtual crowd visualisation software extended to emotional and interpersonal relationships

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WorkPackage 3: Methods for identification of collective emotions in e-communities

• O3.1: Develop methods to identify the emotional contentof blog debates and the impact of the emotion on the outcome of the debates

• O3.2: Develop methods to identify the emotional contentof exchanges between friends in social networks and methods to identify deviant non-emotional friendships that are potentially indicative of stalking, grooming or other criminal behaviour

• O3.3: Develop methods to identify the emotional contentof newsgroup postings and the impact on the mid- to long-term development of relationships between individuals as well as on the development of whole communities

WP 4: Interactive tools for acquisition and influence of

affective states in e-communities

O4.1: Development of a dialog system for the acquisition of affective states O4.2: Employing a dialog system for interactions with users for the acquisition of affective states in relation to entities, events and processesO4.3: Implementation of a software framework for the development of interactive tools (bots) O4.4: Exploration of possibilities to influence users’emotions in experimental environment representing real-world e-communities

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Dialog system• gathers information about users’

attitude and affective states toward events, processes and other participants of online discussions

• extended, real-time interaction with a user

• input from, cooperation with– emotion detection and

classification, data sets (WP3)

– communication strategies, experiments (WP7)

Internet bots• provide content to users and attempt

to influence their attitude and affective states

• interaction with users in an experimental environment representing real-world e-communities (internet forum, blogs)

• input from, cooperation with

• models: human – bot interactions, emotions in e-communities (WP1,WP5,WP6)

• emotionally charged content, experiments with users (WP7)

WWWWWW

Monitoring Monitoring

Reacting on the events

� Develop a model of emotion dynamics in cyberspace

� Analyse the role of emotions in e.g.� streams of user reviews and

ratings for products and movies� forum communications of open

source projects → Forking risk� Use the model as input for

� virtual realities which act emotionally

� strategies of an automatic dialog system which plans to influence collective emotion dynamics

WP5: Sociophysics and agent-based models of emotion dynamics in cyberspace

Objectives

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Complex Networks Models & Dynamics: Some Recent Results

• Models of network structures • Algorithms for growth of C.N.of a given topology

• Webgraph: Scale-free correlated network, statistically=WWW

• Mesoscopically inhomogeneous networks (Communities) =>

• Topology & Spectral Analysis; Methods to search weighted SUBGRAPHS (multigraph- Maximum Likelihood Methods)

• Constructing networks from data: gene-expression -> gene regulatory network; movie recommendation network MRec;

• Dynamical Processes on Networks• Simulations of traffic of information packets on networks: • Identifying robust statistical features of the process• Universal (self-similar) properties in power-law PDFs =>• Dependence of the process from the network structure =>• Adaptive communication networks: optimized process

features

• References: Tadic Physica A, 2001; Zivkovic & Tadic European Phys. J. B 2006, Mitrovic & Tadic, LNCS 2008; Grujic & Tadic Mrec. 2008 (in progress)Tadic, Rodgers & Thurner, Int. J. Bifurcation and Chaos 2007;

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WP7Emotional reactions to online material

Sequential development of experimental paradigms with increasing complexity to

deliver data for modeling. Source materials relate in part to data provided by WP3

and WP5. Other data are gained from online interactions at Jacobs University and

across multiple sites.

Sequential development of experimental paradigms with increasing complexity to

deliver data for modeling. Source materials relate in part to data provided by WP3

and WP5. Other data are gained from online interactions at Jacobs University and

across multiple sites.

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19• Net Business Center / 1

• 2007 IKM, SYSEDV, TU Berlin, / 1

IKM Research of TU Berlin

structure

static

contents

dynamic

Volume of Communication, Network Size, Identification of Clusters and Subnets, Importance of individual actors

longitudinal development, growth of the network, frequence analysis, peaks, identification of time-based patterns

Topical Clustering, Identification of important topics, Expertise Network Maps, Contact Search + Recommendation

Diffusion of Topics and information, Emerging Hot Topics, Topic Cluster formation,

Growth of discussion on topic

Analysis of TopicClusters

Search People

TopicDiffusionIn EmployeeE-Mail Network

IT-Supportfor Network

Analysis

Identify central experts and bottlenecks

2D and 3D Visualizations

VISUALIZATIONSOFTWARECOMMETRIX

WP 8 Visualization and monitoring of collective emotion intensity. This WP will be based on TUB/IKM‘s latest methods for visualizing and analyzing dynamic networks based on events and our correspondingCommetrix Software Tool (cf. Trier, Inf.Syst. Res. ,Vol.19, 3, 2008)

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•• Independent research agency Independent research agency -- leader in online studiesGemius SA is the biggest online research agency in the Central and Eastern Europe, operating also on the Western European markets and in Israel.

•• Gemius Gemius researchresearch -- tools for evaluation and planning the marketing activity on the Internet

• Globally unique methodology, owned & developed by Gemius SA

• The company started to offer its products and services in 1999 in Poland.

• Research solutions certified by the Interactive Advertising Bureau (IAB) Poland.

• ESOMAR research code of conduct strictly respected.

Gemius - about company

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21Contract Report Audit…

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Misja KRAB-a

Krajowa Rada Koordynatorów Projektów Badawczych UE (KRAB) powstała jako Stowarzyszenie dla wymiany doświadczeń z realizacji projektów między swoimi członkami oraz miedzy innymi podmiotami. Chcielibyśmy promować dobre praktyki profesjonalnego prowadzenia projektów badawczych i promować polskie uczestnictwo w Programach Ramowych UE. Nasz statut przewiduje współpracę z administracjąrządową, samorządowa oraz innymi podmiotami związanymi z realizacją projektów UE. Chcielibyśmy również podejmować działania i rekomendować zmiany prawne potrzebne dla udziału polskich naukowców w programach badawczo-rozwojowych UE. Nasze cele zamierzamy realizować m.in. przez organizację spotkań i sympozjów związanych z realizacją projektów UE w Polsce oraz przez przekazywanie do odpowiednich podmiotów w Polsce i UE opinii o problemach realizacji projektów. Uważamy, że do problemów tych należą m.in.: duże dysproporcje miedzy wynagrodzeniami wykonawców projektów w Polsce i w Europie Zachodniej, brak stabilnych rozwiązań prawnych dla prowadzenia projektów i brak profesjonalnej kadry managerskiej wspomagającej projekty w Polsce.