Community Structure and Interaction Locality in Social Networks

• Item type: JInfP(1)
• 公開日: 2015-07-15
• タイトル: Community Structure and Interaction Locality in Social Networks
• タイトル / 言語: en
• タイトル: Community Structure and Interaction Locality in Social Networks
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [Special Issue of Applications and the Internet in Conjunction with Main Topics of COMPSAC 2014 (Invited Paper)] social network, interaction locality, community, anomaly detection
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Faculty of Engineering, Information and Systems, University of Tsukuba
• 著者所属: School of Science and Technology, Kwansei Gakuin University
• 著者所属(英): en
• 著者所属(英): Faculty of Engineering, Information and Systems, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): School of Science and Technology, Kwansei Gakuin University
• 著者名: Sho, Tsugawa; Hiroyuki, Ohsaki
• 著者名(英): Sho, Tsugawa; Hiroyuki, Ohsaki
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Research on social network analysis (SNA) has been actively pursued. Most SNAs focus on either social relationship networks (e.g., friendship and trust networks) or social interaction networks (e.g., email and phone call networks). It is expected that the social relationship network and social interaction network of a group should be closely related to each other. For instance, people in the same community in a social relationship network are expected to communicate with each other more frequently than with people in different communities. To the best of our knowledge, however, there is not much understanding on such interaction locality in large-scale online social networks. This paper aims to bridge the gap between intuition about interaction locality and empirical evidences observed in large-scale social networks. We investigate the strength of interaction locality in large-scale social networks by analyzing different types of data: logs of mobile phone calls, email messages, and message exchanges in a social networking service. Our results show that strong interaction locality is observed equally in the three datasets, and suggest that strength of the interaction locality is invariant with regard to the scale of the community. Moreover, we discuss practical implications as well as possible applications.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Research on social network analysis (SNA) has been actively pursued. Most SNAs focus on either social relationship networks (e.g., friendship and trust networks) or social interaction networks (e.g., email and phone call networks). It is expected that the social relationship network and social interaction network of a group should be closely related to each other. For instance, people in the same community in a social relationship network are expected to communicate with each other more frequently than with people in different communities. To the best of our knowledge, however, there is not much understanding on such interaction locality in large-scale online social networks. This paper aims to bridge the gap between intuition about interaction locality and empirical evidences observed in large-scale social networks. We investigate the strength of interaction locality in large-scale social networks by analyzing different types of data: logs of mobile phone calls, email messages, and message exchanges in a social networking service. Our results show that strong interaction locality is observed equally in the three datasets, and suggest that strength of the interaction locality is invariant with regard to the scale of the community. Moreover, we discuss practical implications as well as possible applications.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA00700121
• 書誌情報: Journal of information processing; 巻 23, 号 4, p. 402-410, 発行日 2015-07-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6652
• 出版者 / 言語: ja
• 出版者: 情報処理学会