Advertisement

The European Physical Journal Special Topics

, Volume 143, Issue 1, pp 257–259 | Cite as

Analysis of large social datasets by community detection

  • S. Lozano
  • J. Duch
  • A. Arenas
Article

Abstract.

Using a database of research projects of the European 6th Framework Programme, we present a methodology to analyze large social data sets based on a new community detection algorithm. As a main advantage, we stress that community determination makes easier the operation of crossing relational data (who is connected to whom) with particular information about each organization.

Keywords

Community Structure EUROPEAN Physical Journal Special Topic Market Structure Community Detection Link Density 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. M.E.J. Newman, M. Girvan, Phys. Rev. E 69, 026113 (2004) CrossRefADSGoogle Scholar
  2. J. Duch, A. Arenas, Phys. Rev. E. 72, 027104 (2005) CrossRefADSGoogle Scholar
  3. S. Boettcher, A.G. Percus, Phys. Rev. Lett. 86, 5211–5214 (2001) CrossRefADSGoogle Scholar

Copyright information

© EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

Authors and Affiliations

  • S. Lozano
    • 1
  • J. Duch
    • 1
  • A. Arenas
    • 1
  1. 1.Departament d'Enginyeria Informàtica i MatemàtiquesUniversitat Rovira i VirgiliTarragonaSpain

Personalised recommendations