Detection of sub-communities in complex networks, such as social networks and protein-protein interaction networks, can enhance our understanding of structures and functions of different communities. In this paper, we introduced a novel method combined fuzzy clustering and IP values to identify community structures in complex networks. We evaluated our method on two real-world social networks with known communities. The experiment results show that our method works well for detecting sub-communities and give a reasonable understanding of these communities. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Wang, D., & Wang, Y. (2013). Fuzzy method for sub-communities identification in complex networks. In Lecture Notes in Electrical Engineering (Vol. 254 LNEE, pp. 617–624). https://doi.org/10.1007/978-3-642-38524-7_67
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