Bi-Objective Community Detection (BOCD) in Networks using Genetic Algorithm

Details Bi-Objective Community Detection (BOCD) in Networks using Genetic Algorithm Bi-Objective Community Detection (BOCD) in Networks using Genetic Algorithm

2011-09-16

arxiv.org/abs/1109.3650v1

Computer Science

Social and Information Networks

11 pages, 3 Figures, 3 Tables. arXiv admin note: substantial text overlap with arXiv:0906.0612

Scientific paper

10.1007/978-3-642-22606-9_5

A lot of research effort has been put into community detection from all corners of academic interest such as physics, mathematics and computer science. In this paper I have proposed a Bi-Objective Genetic Algorithm for community detection which maximizes modularity and community score. Then the results obtained for both benchmark and real life data sets are compared with other algorithms using the modularity and MNI performance metrics. The results show that the BOCD algorithm is capable of successfully detecting community structure in both real life and synthetic datasets, as well as improving upon the performance of previous techniques.

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