@inproceedings{cff270640a124c45a07c926dfe9795e1,
title = "Finding fuzzy communities in directed networks",
abstract = "To comprehend the directed networks in a fuzzy view, we introduce a new matrix decomposition approach that reveals overlapping community structure in weighted and directed networks. This method decomposes a directed network into modules by optimally decomposing the asymmetric feature matrix of the directed network into two matrices separately representing the closeness degree from node to community and the closeness degree from community to node. Their combined result uncovers the community structures in a fuzzy sense in the directed networks. The illustrations on an artificial network and a word association network give reasonable results.",
author = "Kun Zhao and Zhang, {Shao Wu} and Quan Pan",
year = "2010",
language = "英语",
isbn = "9789898425034",
series = "Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Workshop, ANNIIP 2010, in Conjunction with ICINCO 2010",
pages = "3--12",
booktitle = "Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Workshop, ANNIIP 2010, in Conjunction with ICINCO 2010",
note = "6th International Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2010, in Conjunction with ICINCO 2010 ; Conference date: 17-06-2010 Through 18-06-2010",
}