Social Network Analysis Based on Network Motifs
Title: | Social Network Analysis Based on Network Motifs |
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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 |
ISSN: | 1110757X 16870042 |
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DOI: | 10.1155/2014/874708 |
Published in: | Journal of Applied Mathematics |
Language: | English |