A Study on Finding Core Communities in Social Networks

Persistent ID (NDL): info:ndljp/pid/9529878

Material type: 博士論文

Author: 幸若, 完壮

Publisher: Hokkaido University

Publication date: 2015-09-25

Material Format: Digital

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Name of awarding university/degree: 北海道大学,博士(情報科学)

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Note (General)：: In our society people are integrated into communities to share ideas, information and to achieve a common goal. Within a community, a small group of i...

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Material Type: 博士論文
Title: A Study on Finding Core Communities in Social Networks
Author/Editor: 幸若, 完壮
Author Heading: 幸若, 完壮
Publication, Distribution, etc.: Hokkaido University
Publication Date: 2015-09-25
Publication Date (W3CDTF): 2015-09-25
Alternative Title: ソーシャルネットワークにおける核コミュニティーの発見に関する研究
Contributor: 工藤, 峰一
今井, 英幸
杉本, 雅則
瀧川, 一学
Degree grantor/type: 北海道大学
Date Granted: 2015-09-25
Date Granted (W3CDTF): 2015-09-25
Dissertation Number: 甲第11971号
Degree Type: 博士(情報科学)
Conferring No. (Dissertation): 甲第11971号
Text Language Code: eng
Alias of Author: Koujaku, Sadamori
NDC: 500
Target Audience: 一般
Note (General): In our society people are integrated into communities to share ideas, information and to achieve a common goal. Within a community, a small group of individuals holds great popularities and leaderships, which we call a core community. A core community takes general tasks, coordinates the interactions among members, and holds the important source of the social norm, values and subcultures. Therefore, identifying core communities is of great importance to understand our social systems. There has been concert effort to find core communities embedded in social networks. However, one limitation is that they are too coarse to find multiple cores in a network. We, therefore, proposed a novel communitymodel called dense core. It can capture almost perfect subgraphs and also well-separated subgraphs. On the basis of this unique nature, we have shown its effectiveness in identifying multiple core/periphery structures. The spontaneity is supported by the fact that the dense core model is relevant to various community models in different traditions such as pseudocliques and graph partitioning. We applied the dense core model for visualizing a graph to find multiple core communities. In addition, we applied our model for the change analysis of dynamic social networks and illustrated its effectiveness.
(主査) 教授工藤峰一, 教授今井英幸, 教授杉本雅則, 准教授瀧川一学
情報科学研究科（コンピュータサイエンス専攻）
DOI: 10.14943/doctoral.k11971
https://doi.org/10.14943/doctoral.k11971
Persistent ID (NDL): info:ndljp/pid/9529878
https://dl.ndl.go.jp/pid/9529878
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（自動収集）
Date Accepted (W3CDTF): 2015-11-01T14:53:18+09:00
Date Created (W3CDTF): 2015-08
Format (IMT): PDF
Access Restrictions: 国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
Availability of remote photoduplication service: 可
Periodical Title (URI): http://dx.doi.org/10.14943/doctoral.k11971
http://hdl.handle.net/2115/59956
Is Referenced By (URI): http://hdl.handle.net/2115/59955
Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション
https://dl.ndl.go.jp