1.北京工业大学 国际WIC研究院 北京 100124 2.Department of Biological Information, Maebashi Institute of Technology, Maebashi-City, Japan 371-0816 3.石家庄经济学院 信息工程学院 石家庄 050031
Social Network Evolution Analysis Based on Graph Entropy
GUO Rui1,2, ZHONG Ning1,2, LI Wen-Bin3
1.International WIC Institute, Beijing University of Technology, Beijing 100022 2.Department of Biological Information, Maebashi Institute of Technology, Maebashi-City, Japan 371-0816 3.School of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang 050031
Abstract：The order of networks in evolution is described by graph entropy. And the different evolution tendencies of connectivity entropy and centrality entropy are discussed. The different evolution tendencies reflect one characteristics of social networks inconsistency of multiscale. Then, the important nodes in networks are detected by entropy participation ratio. Finally, the reason of the distinct tendencies of global property and local property is shown in theory.
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2009, Vol. 22 
