Annual Conference on Advances in Social Networks Analysis and Mining, Odense, Denmark
9 August 2010 - 9 August 2010
Denmark
The 2010 edition of the Conference on Advances in Social Networks Analysis and Mining (ASONAM) will be held from 9 to11 August 2010 in Odense, Denmark.
The conference will bring together practitioners and researchers from a variety of fields related to social network analysis and mining. Emerging trends and industry needs are slated to be discussed, as will experimental and theoretical work on social network analysis and mining along with their application to real life situations.
Users increasingly see the internet as a social medium for interaction, the sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising interest in social network analysis and mining in academia, politics, security and business.
The study of social networks originated in the social and business communities, and has advanced significantly with the development of sophisticated research techniques. These have been highly influenced by social websites, email logs, phone logs and instant messaging systems, which are widely analysed using graph theory and machine learning techniques.For further information on registration, please visit:
http://asonam2010.hau.gr/(opens in new window)
The conference will bring together practitioners and researchers from a variety of fields related to social network analysis and mining. Emerging trends and industry needs are slated to be discussed, as will experimental and theoretical work on social network analysis and mining along with their application to real life situations.
Users increasingly see the internet as a social medium for interaction, the sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising interest in social network analysis and mining in academia, politics, security and business.
The study of social networks originated in the social and business communities, and has advanced significantly with the development of sophisticated research techniques. These have been highly influenced by social websites, email logs, phone logs and instant messaging systems, which are widely analysed using graph theory and machine learning techniques.For further information on registration, please visit:
http://asonam2010.hau.gr/(opens in new window)