Comparing community structure identification

Leon Danon*, Albert Díaz-Guilera, Jordi Duch, Alex Arenas

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2016 Citations (Scopus)


We compare recent approaches to community structure identification in terms of sensitivity and computational cost. The recently proposed modularity measure is revisited and the performance of the methods as applied to ad hoc networks with known community structure, is compared. We find that the most accurate methods tend to be more computationally expensive, and that both aspects need to be considered when choosing a method for practical purposes. The work is intended as an introduction as well as a proposal for a standard benchmark test of community detection methods.

Original languageEnglish
Pages (from-to)219-228
Number of pages10
JournalJournal of Statistical Mechanics: Theory and Experiment
Issue number9
Publication statusPublished - 1 Sept 2005


  • Analysis of algorithms
  • Network dynamics


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