International Workshop

on Computational Social Networks

 

- IWCSN 2008 -


December 9, 2008, Sydney, Australia
 
This workshop is organized in conjunction with the 
2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI-08)
 http://datamining.it.uts.edu.au/wi08/html/wi/
 

Honorary Chair

Miroslav Fiedler

Institute of Computer Science

Academy of Sciences of the Czech Republic

Pod vodarenskou vezi 2

182 07 Prague 8,Czech Republic

e-mail: fiedler@cs.cas.cz 

Workshop Co-Chairs (Organizers)

       Vaclav Snasel

Department of Computer Science,

VSB-Technical University of Ostrava,

Czech Republic

http://www.cs.vsb.cz/snasel

Email: vaclav.snasel@vsb.cz

 

 

 

            Ajith Abraham

Norwegian Center of Excellence

Center of Excellence for Quantifiable Quality of Service

Norwegian University of Science and Technology,

O.S. Bragstads plass 2E,

N-7491 Trondheim, Norway

email: ajith.abraham@ieee.org

 

 

          James Peters

Department of Electrical and Computer Engineering

University of Manitoba

75A Chancellor's Circle

Winnipeg, MB R3T 5V6 Canada

E-mail: jfpeters@ee.umanitoba.ca

 

 

 Aboul Ella Hassanien

Faculty of Computer and Information,  Information Technology Department, Cairo University,

5 Ahmed Zewal St., Orman, Giza, Egypt

http://www.cba.edu.kw/abo/

E-mail:  aboitcaio@gmail.com

 

Gerald Schaefer

Schoool of Engineering and Applied Science,

Aston University

Birmingham, United Kingdom

Email: g.schaefer@aston.ac.uk

 

 

 

Workshop Objective

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of Web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. Social network analysis is a rapidly growing field within the Web intelligence domain. The recent developments in Web 2.0 have provided more opportunities to investigate the dynamics and structure of Web-based social networks.  Recent trends also indicate the usage of social networks as a key feature for next generation usage and exploitation of the Web.  This international workshop on “Computational Social Networks’ is focused on the foundations of social networks as well as case studies, empirical, and other methodological works related to the computational tools for the automatic discovery of Web-based social networks.   This workshop provides an opportunity to compare and contrast the ethological approach to social behavior in animals (including the study of animal tracks and learning by members of the same species) with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks.  The main topics cover the design and use of various computational intelligence tools and software, simulations of social networks, representation and analysis of social networks, use of semantic networks in the design and community-based research issues such as knowledge discovery, privacy and protection, and visualization.

Recommended topics include but are not limited to the following:

 

o     Automatic discovery and analysis of Web based social networks.

o     Intelligent Visualization of Social Network Analysis

o     Intelligent social network

o     Social Network Mining

o     Social Networks and Social Intelligence

o     Web Site Clustering

o     Link Topology and Site Hierarchy

o     Theories of Small-World Web

o     Virtual and Web Communities

o     Security, privacy and trust

o     Computational Analysis of Social and Organizational Systems

o     Web-Based Cooperative Work

o     Knowledge Community Formation and Support

o     Ubiquitous Computing

o     Intelligent Wireless Web

o     Ubiquitous Learning Systems

o     Social network analysis of communities of practice

o     Network evolution and growth mechanisms

o     Information diffusion in social networks

o     Affiliation networks

o     Epidemics and rumors in networks

o     Geographical clusters, networks, and innovation

o     Effects of network structure and dynamics on knowledge transfer and sharing

o     Intra- and inter-organizational networks

o     Social capital, structural holes and Simmelian ties

o     Online communities and computer networks

o     Computational models and agent-based simulations of networks

o     Infrastructure and Tools for e-Social network

o     Interdisciplinary Research and e-Social network

o     International Collaborations in e-Social network

 

 

Note that IWCSN 2008 will accept ONLY on-line submissions, containing  PDF versions. Please use the Submission Form on the WI'08 website to submit your paper. http://datamining.it.uts.edu.au/wi08/html/wi/?index=submission

Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press that are indexed by EI.  Final camera ready papers will be allocated only 4 pages (one extra page allowed) in the proceedings.

 

Important Dates

 

 
Workshop paper submission (extended): August 07, 2008
Notification of paper acceptance:    September 3, 2008
Camera-ready of accepted papers:    September 30, 2008
Workshop:    December 9, 2008

 

 

 

About  WI-08

 

 

The 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI-08) will be jointly held with the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-08). The IEEE/WIC/ACM 2008 joint conferences are organized by University of Technology, Sydney, Australia, and sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), and ACM-SIGART.   Following the great successes of WI'01 held in Maebashi City, Japan , WI'03 held in Halifax, Canada, WI'04 held in Beijing, China, WI-05 in Compiegne University of Technology, France, WI-06 held in Hong Kong Convention and Exhibition Centre, China, WI-07 held in Silicon Valley, California, USA. WI 2008 provides a leading international forum for researchers and practitioners (1) to present the state-of-the-art of WI technologies; (2) to examine performance characteristics of various approaches in Web-based intelligent information technology; and (3) to cross-fertilize ideas on the development of Web-based intelligent information systems among different domains. By idea-sharing and discussions on the underlying foundations and the enabling technologies of Web intelligence, WI 2008 will capture current important developments of new models, new methodologies and new tools for building a variety of embodiments of Web-based intelligent information systems.

 

 

International Program Committee

 

 

For further information:
 

 

Technical  and  Administrative questions to: Ajith Abraham, Email: ajith.abraham@ieee.org

 

 

 

 

You've been marked on my visitor map!