Communities Detection with Applications to Real-World Networks Analysis

  • Authors:

  • Bo Yang

  • Affiliations:

  • -

  • Venue:
  • CIS '11 Proceedings of the 2011 Seventh International Conference on Computational Intelligence and Security
  • Year:
  • 2011

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Abstract

Community structure is one of non-trivial topological properties ubiquitously demonstrated in real-world complex networks. Related theories and approaches are of fundamental importance for understanding the functions of networks. Previously, we have proposed a probabilistic algorithm called the NCMA to efficiently as well as effectively mine communities from real-world networks. Here, we show that the NCMA can be readily extended and applied to address a wide range of network oriented applications beyond community detection including ranking, characterizing and searching real world networks.