The study of social networks originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding.

The international conference on Advances in Social Network Analysis and Mining (ASONAM 2011) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2011 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical works on social network analysis and mining along with their application to real life situations.

General areas of interest to ASONAM 2011 include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.

More specialized topics within ASONAM include, but are 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