Presentation 2008-12-05
Information Network Design using Social Network Analysis Results : Fast Algorithm for Between Centrality
Syun-ichi KURINO, Toshio TAKAHASHI, Noriaki YOSHIKAI,
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Abstract(in English) Traditionally. the information network (IN) and the social network (SN) have been researched separately as the independent targets. However, the researchers for designing the network service have to consider two kinds of networks simultaneously, because the value of network services depends on Win's and SNs. It is possible to improve the quality of network services by adopting the analysis result of an SN, which is built on the affiliation network concept, in order to design the IN. This paper depicts the effectiveness of our method by investigating the case study for the mail-server in Nihon-University. The fast algorithm for the between centrality in the very large network is also proposed, and shown the improvements of the calculating times.
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Keyword(in English) social network / between centrality / information network
Paper # SITE2008-36
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Committee SITE
Conference Date 2008/11/28(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Information Network Design using Social Network Analysis Results : Fast Algorithm for Between Centrality
Sub Title (in English)
Keyword(1) social network
Keyword(2) between centrality
Keyword(3) information network
1st Author's Name Syun-ichi KURINO
1st Author's Affiliation Nihon University, College of Science & Technology, Department of Mathematics()
2nd Author's Name Toshio TAKAHASHI
2nd Author's Affiliation Employment and Human Resources Development Organization of Japan
3rd Author's Name Noriaki YOSHIKAI
3rd Author's Affiliation Nihon University, Advanced Research Institute for the Science and Humanities
Date 2008-12-05
Paper # SITE2008-36
Volume (vol) vol.108
Number (no) 331
Page pp.pp.-
#Pages 5
Date of Issue