SNAKDD 2011 - Fifth International Workshop on Social Network Mining and Analysis (SNAKDD 2011)

Social networks research has come a long way since the notable “six-degree separation” experiment. In recent years, social network research has advanced significantly, thanks to the prevalence of the online social websites and the availability of a variety of offline large-scale social network systems such as collaboration networks. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Researchers are increasingly interested in addressing a wide range of challenges residing in these disparate social network systems, including identifying common static topological properties
and dynamic properties during the formation and evolution of these social networks, and how contextual information can help in analyzing the pertaining social networks. These issues have important implications on community discovery, anomaly detection, trend prediction and can enhance applications in multiple domains such as information retrieval, recommendation systems, security and so on.

The fifth SNA-KDD '2011 aims to bring together practitioners and researchers with a specific focus on the emerging trends and industry needs associated with the traditional Web, the social Web, and other forms of social networking systems. Both theoretical and experimental submissions are encouraged. The interesting topics include (1) data mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions) and on the associated security and privacy-preservation challenges; (2) social network modeling, scalable, customizable social network infrastructure construction, dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation.

Workshop Topics
The fifth SNA-KDD '2011 solicits contributions on social network analysis and graph mining, including the emerging applications of the Web as a social medium. Papers should elaborate on data mining methods, issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (pictures and their annotations, multi-channel usage data). Topics of interest include but are not limited to:

Communities discovery and analysis in large scale online and offline social networks
Personalization for search and for social interaction
Recommendations for product purchase, information acquisition and establishment of social relations
Data protection inside communities
Misbehavior detection in communities
Web mining algorithms for clickstreams, documents and search streams
Preparing data for web mining
Pattern presentation for end-users and experts
Evolution of patterns in the Web
Evolution of communities in the Web
Dynamics and evolution patterns of social networks, trend prediction
Contextual social network analysis
Temporal analysis on social networks topologies
Search algorithms on social networks
Multi-agent based social network modeling and analysis
Application of social network analysis
Anomaly detection in social network evolution