@inproceedings{a05270a3a65a49bf99c1446eca1a7339,
title = "Effective algorithm for detecting community structure in complex networks based on GA and clustering",
abstract = "The study of networked systems has experienced a particular surge of interest in the last decade. One issue that has received a considerable amount of attention is the detection and characterization of community structure in networks, meaning the appearance of densely connected groups of vertices, with only sparser connections between groups. In this paper, we present an approach for the problem of community detection using genetic algorithm (GA) in conjunction with the method of clustering. We demonstrate that our algorithms are highly effective at discovering community structure in both computer-generated and real-world network data, and show how they can be used to shed light on the sometimes daunting complex real-world systems of scale-free network structure.",
keywords = "Clustering, Community structure, Complex network, Modularity",
author = "Xin Liu and Deyi Li and Shuliang Wang and Zhiwei Tao",
year = "2007",
doi = "10.1007/978-3-540-72586-2_95",
language = "English",
isbn = "9783540725855",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "657--664",
booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings",
address = "Germany",
edition = "PART 2",
note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}