Community Detection in Complex Networks Using Genetic Algorithms
Physics and Society
2007-11-06 v1
Abstract
Community detection is an important research topic in complex networks. We present the employment of a genetic algorithm to detect communities in complex networks which is based on optimizing network modularity. It does not need any prior knowledge about the number of communities. Its performance is tested on two real life networks with known community structures and a set of synthetic networks. As the performance measure an information theoretical metric variation of information is used. The results are promising and in some cases better than previously reported studies.
Cite
@article{arxiv.0711.0491,
title = {Community Detection in Complex Networks Using Genetic Algorithms},
author = {Mursel Tasgin and Amac Herdagdelen and Haluk Bingol},
journal= {arXiv preprint arXiv:0711.0491},
year = {2007}
}
Comments
Based on arXiv:cond-mat/0604419. 6 pages, 4 figures