We propose a novel method to find the community structure in complex networks based on an extremal optimization of the value of modularity. The method outperforms the optimal modularity found by the existing algorithms in the literature. We present the results of the algorithm for computer simulated and real networks and compare them with other approaches. The efficiency and accuracy of the method make it feasible to be used for the accurate identification of community structure in large complex networks.
Description
Citebase - Community detection in complex networks using Extremal Optimization
%0 Journal Article
%1 duch-2005-72
%A Duch, J.
%A Arenas, A.
%D 2005
%J Physical Review E
%K community complex detection network
%P 027104
%T Community detection in complex networks using Extremal Optimization
%U http://www.citebase.org/abstract?id=oai:arXiv.org:cond-mat/0501368
%V 72
%X We propose a novel method to find the community structure in complex networks based on an extremal optimization of the value of modularity. The method outperforms the optimal modularity found by the existing algorithms in the literature. We present the results of the algorithm for computer simulated and real networks and compare them with other approaches. The efficiency and accuracy of the method make it feasible to be used for the accurate identification of community structure in large complex networks.
@article{duch-2005-72,
abstract = {We propose a novel method to find the community structure in complex networks based on an extremal optimization of the value of modularity. The method outperforms the optimal modularity found by the existing algorithms in the literature. We present the results of the algorithm for computer simulated and real networks and compare them with other approaches. The efficiency and accuracy of the method make it feasible to be used for the accurate identification of community structure in large complex networks.},
added-at = {2007-05-18T10:42:10.000+0200},
author = {Duch, J. and Arenas, A.},
biburl = {https://www.bibsonomy.org/bibtex/236d905c5223e5516db9d08eb3e0bc9fc/jaeschke},
description = {Citebase - Community detection in complex networks using Extremal Optimization},
interhash = {2e37e9b6a0f76e94125990a47cd287f3},
intrahash = {36d905c5223e5516db9d08eb3e0bc9fc},
journal = {Physical Review E},
keywords = {community complex detection network},
pages = 027104,
timestamp = {2014-07-28T15:57:31.000+0200},
title = {Community detection in complex networks using Extremal Optimization},
url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cond-mat/0501368},
volume = 72,
year = 2005
}