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Survey on Social Community Detection

Abstract : Community detection is a growing field of interest in the area of Social Network applications. Many community detection methods and surveys have been introduced in recent years, with each such method being classified according to its algorithm type. This chapter presents an original survey on this topic, featuring a new approach based on both semantics and type of output. Semantics opens up new perspectives and allows interpreting highorder social relations. A special focus is also given to community evaluation since this step becomes important in social data mining.
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Contributor : Michel Plantié <>
Submitted on : Monday, March 25, 2013 - 11:19:11 AM
Last modification on : Friday, June 18, 2021 - 1:44:01 PM
Long-term archiving on: : Wednesday, June 26, 2013 - 4:01:33 AM


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Michel Plantié, Michel Crampes. Survey on Social Community Detection. Springer Publishers. Social Media Retrieval, Springer Publishers, pp.65-85, 2013, Computer Communications and Networks, 978-1-4471-4554-7. ⟨10.1007/978-1-4471-4555-4_4⟩. ⟨hal-00804234⟩



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