Multiple Clusters Discovery Utilizing Network Motifs for Community Improvement: Insights from Tourism and Goods' Transactions

• Item type: Journal(1)
• 公開日: 2024-03-15
• タイトル: Multiple Clusters Discovery Utilizing Network Motifs for Community Improvement: Insights from Tourism and Goods' Transactions
• タイトル / 言語: en
• タイトル: Multiple Clusters Discovery Utilizing Network Motifs for Community Improvement: Insights from Tourism and Goods' Transactions
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集:若手研究者] Multiple clusters, Network analysis, Community improvement
• 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: Graduate School of Creative Science and Engineering, Waseda University
• 著者所属: Graduate School of Information, Production, and Systems, Waseda University
• 著者所属: Graduate School of Creative Science and Engineering, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Creative Science and Engineering, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production, and Systems, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Creative Science and Engineering, Waseda University
• 著者名: Tengfei, Shao; Yuya, Ieiri; Reiko, Hishiyama
• 著者名(英): Tengfei, Shao; Yuya, Ieiri; Reiko, Hishiyama
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Community improvement is about enhancing the physical infrastructure and promoting social, economic, and health outcomes. For comprehensive community enhancement, this paper proposed an analysis model to identify multiple clusters using the Cartesian product of network motifs and local-determined keywords. These clusters have the potential to intersect various domains and disciplines, fostering a more holistic understanding of community phenomena. Furthermore, we demonstrate the practical application of the model through two case studies: tourism and second-hand luxury goods transactions. Our findings in case studies reveal the potential of network motifs in identifying clusters that have the possibility of contributing to community improvement to some degree. These results have significant potential implications for both theoretical research and practical applications in community improvement, providing a new approach to identifying multiple clusters across diverse activities.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.32(2024) (online); DOI http://dx.doi.org/10.2197/ipsjjip.32.308; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Community improvement is about enhancing the physical infrastructure and promoting social, economic, and health outcomes. For comprehensive community enhancement, this paper proposed an analysis model to identify multiple clusters using the Cartesian product of network motifs and local-determined keywords. These clusters have the potential to intersect various domains and disciplines, fostering a more holistic understanding of community phenomena. Furthermore, we demonstrate the practical application of the model through two case studies: tourism and second-hand luxury goods transactions. Our findings in case studies reveal the potential of network motifs in identifying clusters that have the possibility of contributing to community improvement to some degree. These results have significant potential implications for both theoretical research and practical applications in community improvement, providing a new approach to identifying multiple clusters across diverse activities.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.32(2024) (online); DOI http://dx.doi.org/10.2197/ipsjjip.32.308; ------------------------------
• 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: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 65, 号 3, 発行日 2024-03-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会