@inproceedings{411736648a8542c584dca1c5e5758926,
title = "Hierarchical overlapping community discovery algorithm based on node purity",
abstract = "A hierarchical overlapping community discovery algorithm based on node purity (OCFN-PN) is proposed in the paper. This algorithm chooses the maximal relative centrality as the initial community, which solves the problem of inconsistent results of the community discovery algorithm based on fitness resulting from randomly choosing nodes. Before optimizing and merging communities, the community overlapping degree and the joint-union should be calculated so that the problems of twice merging can be solved. Research results show that this algorithm has lower time complexity and the communities obtained by this algorithm are more suitable for real world networks.",
keywords = "hierarchical overlapping community discovery algorithm, node purity, overlapping degree, relative centrality, the joint-union",
author = "Guoyong Cai and Ruili Wang and Guobin Liu",
year = "2012",
doi = "10.1007/978-3-642-32891-6_32",
language = "English",
isbn = "9783642328909",
series = "IFIP Advances in Information and Communication Technology",
pages = "248--257",
booktitle = "Intelligent Information Processing VI - 7th IFIP TC 12 International Conference, IIP 2012, Proceedings",
note = "7th IFIP International Conference on Intelligent Information Processing, IIP 2012 ; Conference date: 12-10-2012 Through 15-10-2012",
}