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ESN@INCoS 2013 : International Workshop on Evolution of Social Networks at INCoS 2013

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Link: http://dap.vsb.cz/esn2013/
 
When Sep 9, 2013 - Sep 11, 2013
Where Xian, China
Submission Deadline May 1, 2013
Notification Due May 30, 2013
Final Version Due Jun 30, 2013
Categories    social networks   data mining   evolution   dynamics
 

Call For Papers

ESN 2013 - International Workshop on Evolution of Social Networks

in conjunction with INCoS 2013, XI'AN, China, September 9 - 11, 2013

Introduction

In recent years, research in area of social network analysis grows rapidly, mainly thanks to the prevalence of the large-scale social network systems. These social network systems can be characterized by complex network structures and extensive content. Social network analysis can be applied to static or dynamic types of problems. The current research is mainly focused on analysis of topological properties and dynamic properties corresponding to evolution of networks and communities. Contextual information can help in analyzing these properties. Social network data comes mainly from many on-line services. The huge quantity of data can be consisting of millions of vertices and edges. Given the scale, complexity and dynamics, the traditional methods of social network analysis cannot be easily used. It becomes crucial for researchers to understand the dynamics of these networks. It is important to predict the next evolution and analyze trends in the network. Other current directions of research are detection of communities and analysis of community evolution in large social networks, content (topic) evolution, information diffusion in social networks, etc.

Specific topics of interest

To address the aforementioned aspects of evolution of social networks, the preferred topics for this special session are (but not limited to):

Community detection and evolution
Role detection and evolution in social networks
Content evolution and Information diffusion in social networks
Trend prediction in social networks
Anomaly detection in social network evolution
Mining dynamics and evolution patterns of social networks
Mining of user behavior patterns in social networks
Analysis of co-authorship and citation networks and evolution of research topics
Evolution in collaborative environments, wikis, e-learning systems, …
Case studies and applications from the area of social network dynamics and evolution
Social network data pre-processing
Evaluation techniques and benchmarks
Organizers

Vaclav Snášel is Professor of Computer Science. He works as researcher and university teacher. He is Dean Faculty of Electrical Engineering and Computer Science. Vaclav Snášel's research and development experience includes over 30 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, social network, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, nature and Bio-inspired computing, data mining, and applied to various real world problems. He has given more than 15 plenary lectures and conference tutorials in these areas. He has authored/co-authored several refereed journal/conference papers, books and book chapters. He has published more than 400 papers (191 papers are recorded at Web of Science, 256 papers are recorded at Scopus) and 1317 citations in Google Scholar Citations. Vaclav Snášel has served as a PC member to many international conferences, and she has been general chair and organizer of the INCoS 2009 -- IEEE, Barcelona, Spain, General Chair, NWeSP 2009 -- IEEE, Prague, Czech Republic, General Chair, AWIC 2009 -- Springer, Prague, Czech Republic, General Chair, NDT 2009 -- IEEE, Ostrava, Czech Republic, General Chair, CASoN 2009 -- IEEE, Fontainebleau, France, International

Miloš Kudělka works as a researcher and a university teacher at VSB -Technical University of Ostrava. He is an assistant professor at CS Dept. of Faculty of Electrical Engineering and Computer Science. He received Ph.D. degree in Computer Science and Applied Mathematics in 2009. Milos Kudelka's research and development experience includes over 20 years at the academia and industry. He works in multi-disciplinary environment involving software engineering, data mining, and social network analysis. He is also interested in teaching methods in computer science education. He has authored/co-authored several refereed journal/conference papers and book chapters. He has published more than 60 papers; more than 20 are recorded at Web of Science and Scopus. Milos Kudelka has served as a PC member to many international conferences He is a member of IEEE (USA) and ACM (USA).

Program committee (tentative)

Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic
Milos Kudelka, VSB-Technical University of Ostrava, Czech Republic
Pavel Kromer, VSB-Technical University of Ostrava, Czech Republic
Jan Platos, VSB-Technical University of Ostrava, Czech Republic
Pavel Moravec, VSB-Technical University of Ostrava, Czech Republic
Petr Gajdos, VSB-Technical University of Ostrava, Czech Republic
Jan Martinovic, VSB-Technical University of Ostrava, Czech Republic
Eliska Ochodkova, VSB-Technical University of Ostrava, Czech Republic
Dusan Husek, Institute of Computer Science, Academy of Science, Czech Republic
Petr Musilek, University of Alberta, Canada
Suhail S. Owais, AL-Balaqa University, Jordan
Eyas El-Quwashme, Jordan University of Science and Technology, Jordan
Hideyasu Sasaki, University of Hong Kong, Hong Kong
Juan D. Velasquez, University of Chile, Santiago, Chile
Michal Wozniak, Wroclaw University of Technology, Poland
Milos Besta, Google, New York
Nashwa Mamdouh El-Bendary, Arab Academy for Science, Technology, and Maritime Transport, Egypt
Dr. Muhanned Al Farras, College of Computer Engineering & Sciences, Gulf University, Bahrain
Aboul Ella Hassanien, Cairo University, Egypt


Submission

Submitted papers must be original and not submitted for publication elsewhere. Authors are invited to submit their 4 to 6 pages long manuscripts (with up to 5 keywords) following the IEEE 8.5 two-column format. You can find instructions to format the Proceedings Manuscript, at the following web page: http://www.computer.org/portal/site/cscps/.

Full submission guidelines are available from INCoS 2013.

To submit, you must follow the instructions, and select the ESN2013 workshop among the options. All papers will be peer reviewed by at least two or more independent referees of the ESN 2032 Workshop programme committee and accepted on the basis of their scientific merit, originality, significance, technical soundness, and clarity of exposition.

Proceedings

The INCoS 2013 proceedings will be published by IEEE Conference Publishing Service in the form of CD-ROM with ISBN, and will be accessible on-line. All accepted submissions including ESN workshop papers will be included in the proceedings of the conference. All accepted papers must be accompanied by a full paid registration by at least one of the authors in order to be included in the proceedings.

Important dates

See INCoS 2013 for up-to-date information

Submission Deadline: ** May 01, 2013 ** (Final Extension)
Notification of acceptance: May 30, 2013
Camera-Ready Submission: June 30, 2013
Registration: June 30, 2013
Workshop and INCoS main Conference: September 9 - 11, 2013.

Contact

Vaclav Snasel, VŠB-Technical University of Ostrava, Dept. of Computer Science, 17. listopadu 15, Ostrava - Poruba, 708 33, Czech Republic
Milos Kudelka, VŠB-Technical University of Ostrava, Dept. of Electric Power Engineering, 17. listopadu 15, Ostrava - Poruba, 708 33, Czech Republic

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