Abstract
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.
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(2002)
Dates
Type | When |
---|---|
Created | 19 years, 11 months ago (Sept. 26, 2005, 11:13 p.m.) |
Deposited | 8 months, 3 weeks ago (Dec. 12, 2024, 6:13 a.m.) |
Indexed | 26 minutes ago (Sept. 3, 2025, 10:16 p.m.) |
Issued | 20 years ago (Sept. 1, 2005) |
Published | 20 years ago (Sept. 1, 2005) |
Published Online | 19 years, 11 months ago (Sept. 26, 2005) |
Published Print | 20 years ago (Sept. 1, 2005) |
@article{Danon_2005, title={Comparing community structure identification}, volume={2005}, ISSN={1742-5468}, url={http://dx.doi.org/10.1088/1742-5468/2005/09/p09008}, DOI={10.1088/1742-5468/2005/09/p09008}, number={09}, journal={Journal of Statistical Mechanics: Theory and Experiment}, publisher={IOP Publishing}, author={Danon, Leon and Díaz-Guilera, Albert and Duch, Jordi and Arenas, Alex}, year={2005}, month=sep, pages={P09008–P09008} }