2003/12/03 by A. Arenas, Alex Arenas, L. Danon +7 · 1 citation
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Peer-to-Peer Network Technologies #Theoretical and Computational Physics #cond-mat.dis-nn #cond-mat.stat-mech
paper · pdf · doi:10.1140/epjb/e2004-00130-1
Submitted to European Physics Journal B
arxiv created 2003/12/03 · openalex publication_date 2004/03/01 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/01
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 that find 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.