Community Detection in Complex Networks by Dynamical Simplex Evolution
Disordered Systems and Neural Networks
2009-11-13 v1 Networking and Internet Architecture
Physics and Society
Abstract
We benchmark the dynamical simplex evolution (DSE) method with several of the currently available algorithms to detect communities in complex networks by comparing the fraction of correctly identified nodes for different levels of ``fuzziness'' of random networks composed of well defined communities. The potential benefits of the DSE method to detect hierarchical sub structures in complex networks are discussed.
Cite
@article{arxiv.0710.0550,
title = {Community Detection in Complex Networks by Dynamical Simplex Evolution},
author = {V. Gudkov and V. Montealegre},
journal= {arXiv preprint arXiv:0710.0550},
year = {2009}
}