Open Access
2014 Social Network Analysis Based on Network Motifs
Xu Hong-lin, Yan Han-bing, Gao Cui-fang, Zhu Ping
J. Appl. Math. 2014(SI10): 1-6 (2014). DOI: 10.1155/2014/874708

Abstract

Based on the community structure characteristics, theory, and methods of frequent subgraph mining, network motifs findings are firstly introduced into social network analysis; the tendentiousness evaluation function and the importance evaluation function are proposed for effectiveness assessment. Compared with the traditional way based on nodes centrality degree, the new approach can be used to analyze the properties of social network more fully and judge the roles of the nodes effectively. In application analysis, our approach is shown to be effective.

Citation

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Xu Hong-lin. Yan Han-bing. Gao Cui-fang. Zhu Ping. "Social Network Analysis Based on Network Motifs." J. Appl. Math. 2014 (SI10) 1 - 6, 2014. https://doi.org/10.1155/2014/874708

Information

Published: 2014
First available in Project Euclid: 1 October 2014

MathSciNet: MR3173339
Digital Object Identifier: 10.1155/2014/874708

Rights: Copyright © 2014 Hindawi

Vol.2014 • No. SI10 • 2014
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