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Survey on Social Community Detection

  • Michel Plantié
  • Michel Crampes
Chapter
Part of the Computer Communications and Networks book series (CCN)

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 high-order social relations. A special focus is also given to community evaluation since this step becomes important in social data mining.

Keywords

Bipartite Graph Community Detection Epistemic Community Community Detection Algorithm Community Detection Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Laboratoire de Genie Informatique et d’Ingenierie de Production (LGI2P)EMA - Ecole des Mines, Site EERIENîmes cedex 1France

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