Detecting Community Structure in Complex Networks Based on Node Similarity
GAN Liqiang
WANG Xuyang
YAN Nan
WANG Lan
Abstract：The detection of the community structure in networks is beneficial to understand the network structure and to ana-lyze the network properties.Most of conventional community detection methods focused on only considering the local information of the network to optimizing a certain objective function. However,these methods just have preference for specific types of networks but are not general.In present study,a new node similarity which captures global and local structures is proposed to detecting net-work structure.The presented method does not need any prior knowledge about the communities and its detection results are robust on the selection of the initial node.Some real-world and networks are used to evaluate the performance of the presented method.The simulation results demonstrate that this method is efficient to detect community structure in complex networks.
Keywords：complex networkscommunity detectionnode similarity
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 213-217,240 )