Social Network Analysis Based on Network Motifs

Bibliographic Details
Title: Social Network Analysis Based on Network Motifs
Authors: Xu Hong-lin, Yan Han-bing, Gao Cui-fang, Zhu Ping
Source: Journal of Applied Mathematics, Vol 2014 (2014)
Publisher Information: Hindawi Limited, 2014.
Publication Year: 2014
Collection: LCC:Mathematics
Subject Terms: Mathematics, QA1-939
More Details: 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1110-757X
1687-0042
Relation: https://doaj.org/toc/1110-757X; https://doaj.org/toc/1687-0042
DOI: 10.1155/2014/874708
Access URL: https://doaj.org/article/a660bda0012f42b381d843f5a5fad8cf
Accession Number: edsdoj.660bda0012f42b381d843f5a5fad8cf
Database: Directory of Open Access Journals
More Details
ISSN:1110757X
16870042
DOI:10.1155/2014/874708
Published in:Journal of Applied Mathematics
Language:English