Conference: The 2009 International Conference on Advances in Social Network Analysis and Data Mining

ASONAM 2009 – CALL FOR PAPERS

(A printable typeset version of a more extensive CfP can be found at
<http://www.asonam.org/ASONAM09_CfP.pdf>.)

The 2009 International Conference on Advances in Social Network Analysis
and Data Mining.

http://www.asonam.org

ASONAM is an international conference to be held in Athens, Greece, July
20-22, 2009 will provide an interdisciplinary venue for practitioners
and researchers from a variety of Social Network Analysis and Mining
(SNAM) fields to promote collaborations and exchange of ideas and
practices with a specific focus on emerging trends.

The conference proceedings will be published by the IEEE Computer
Society Conference Publications Service. Selected best papers will
be invited for submission to special issues of journals and books
(see the website for further details).

Submissions of papers are solicited all areas of SNAM including, but not
limited to:

– Anomaly detection in social network evolution
– Application of social network analysis
– Application of social network mining
– Communities discovery and analysis in large scale online social networks
– Communities discovery and analysis in large scale offline social networks
– Connection between biological similarities and social network formulation
– Contextual social network analysis
– Contextual social network mining
– Crime data mining and network analysis
– Cyber anthropology
– Dark Web
– Data protection inside communities
– Detection of communities by document analysis
– Dynamics and evolution patterns of social networks
– Economical impact of social network discovery
– Evolution of patterns in the Web
– Evolution of communities in the Web
– Evolution of communities in organizations
– Geography of social networks
– Impact of social networks on recommendations systems
– Information acquisition and establishment of social relations
– Influence of cultural aspects on the formation of communities
– Knowledge networks
– Large-scale graph algorithms for social network analysis
– Misbehavior detection in communities
– Migration between communities
– Multi-agent based social network modeling and analysis
– Open source intelligence
– Pattern presentation for end-users and experts
– Personalization for search and for social interaction
– Preparing data for Web mining
– Political impact of social network discovery
– Privacy, security and civil liberty issues
– Recommendations for product purchase, information acquisition and
establishment of social relations
– Recommendation networks
– Scalability of social networks
– Scalability of Search algorithms on social networks
– Social and cultural anthropology
– Social geography
– Social psychology of information diffusion
– Temporal analysis on social networks topologies
– Visual representation of dynamic social networks
– Web mining algorithms
– Web communities