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.
Tasgin et al. REF presented, for the first time, the use of a genetic algorithm to detect communities.
Community Detection in Complex Networks Using Genetic Algorithms
Physics Computer Science