A Game Theoretic Approach to Community Detection in Social Networks

  • Rodica Ioana Lung
  • Anca Gog
  • Camelia Chira
Part of the Studies in Computational Intelligence book series (SCI, volume 387)

Abstract

The problem of detecting community structures in social networks is a complex problem of great importance in sociology, biology and computer science. Communities are characterized by dense intra-connections and comparatively sparse inter-cluster connections. The community detection problem is empirically formulated from a game theoretic point of view and solved using a Crowding based Differential Evolution algorithm adapted for detecting Nash equilibria of noncooperative games. Numerical results indicate the potential of this approach.

Keywords

Nash Equilibrium Differential Evolution Payoff Function Community Detection Differential Evolution Algorithm 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rodica Ioana Lung
    • 1
  • Anca Gog
    • 1
  • Camelia Chira
    • 1
  1. 1.Babeş-Bolyai University of Cluj NapocaRomania

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