DataMining 2014 - International workshop on Data Mining in Social Networks

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;
Role identification and relation analysis in social network;
Collective social network integration and analysis.