Community analysis in social networks

@article{Arenas2004CommunityAI,
  title={Community analysis in social networks},
  author={A. Arenas and L. Danon and A. D{\'i}az-Guilera and P. M. Gleiser and R. Guimer{\`a}},
  journal={The European Physical Journal B},
  year={2004},
  volume={38},
  pages={373-380}
}
  • A. Arenas, L. Danon, +2 authors R. Guimerà
  • Published 2004
  • Physics
  • The European Physical Journal B
  • Abstract.We present an empirical study of different social networks obtained from digital repositories. Our analysis reveals the community structure and provides a useful visualising technique. We investigate the scaling properties of the community size distribution, and find that all the networks exhibit power law scaling in the community size distributions with exponent either -0.5 or -1. Finally we find that the networks’ community structure is topologically self-similar using the Horton… CONTINUE READING

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