Social Network Analysis Based on Network Motifs
Joint Authors
Han-bing, Yan
Zhu, Ping
Hong-lin, Xu
Cui-fang, Gao
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-16
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hong-lin, Xu& Han-bing, Yan& Cui-fang, Gao& Zhu, Ping. 2014. Social Network Analysis Based on Network Motifs. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-505315
Modern Language Association (MLA)
Hong-lin, Xu…[et al.]. Social Network Analysis Based on Network Motifs. Journal of Applied Mathematics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-505315
American Medical Association (AMA)
Hong-lin, Xu& Han-bing, Yan& Cui-fang, Gao& Zhu, Ping. Social Network Analysis Based on Network Motifs. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-505315
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505315