Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Author / Creator

Institute of Electrical and Electronics Engineers

Conferences

Advances in Social Networks Analysis and Mining 2016

Available as

Online

Summary

The conference will consider papers in all areas of social networks and mining In recent years, social network research has advanced significantly the development of sophisticated techniques for So...

The conference will consider papers in all areas of social networks and mining 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.

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