The European Physical Journal B

, Volume 38, Issue 2, pp 373–380

Community analysis in social networks

  • A. Arenas
  • L. Danon
  • A. Díaz-Guilera
  • P. M. Gleiser
  • R. Guimerá
Article

DOI: 10.1140/epjb/e2004-00130-1

Cite this article as:
Arenas, A., Danon, L., Díaz-Guilera, A. et al. Eur. Phys. J. B (2004) 38: 373. doi:10.1140/epjb/e2004-00130-1
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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-Strahler index.

Copyright information

© Springer-Verlag Berlin/Heidelberg 2004

Authors and Affiliations

  • A. Arenas
    • 1
  • L. Danon
    • 2
  • A. Díaz-Guilera
    • 2
  • P. M. Gleiser
    • 2
  • R. Guimerá
    • 3
  1. 1.Departament d’Enginyeria Informática i MatemátiquesUniversitat Rovira i VirgiliTarragonaSpain
  2. 2.Department de Física FonamentalUniversitat de BarcelonaBarcelonaSpain
  3. 3.Department of Chemical EngineeringNorthwestern UniversityEvanstonUSA