ＳＮＳにおける関係形成原理 －－ｍｉｘｉのデータ分析－－
書誌事項
- タイトル別名
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- How Relations are Built within a SNS World -- Social Network Analysis on Mixi --
- SNS ニ オケル カンケイ ケイセイ ゲンリ mixi ノ データ ブンセキ
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説明
Our purpose here is to (1) investigate the structure of the personal networks developed on mixi, a Japanese social networking service (SNS), and (2) to consider the governing mechanism which guides participants of a SNS to form an aggregate network. Our findings are as follows:the clustering coefficient of the network is as high as 0.33 while the characteristic path lenght is as low as 5.5. A network among central users (over 300 edges) consist of two cliques, which seems to be very fragile. Community-affiliation network suggests there are several easy-entry communities which later lead users to more high-entry, unique-theme communities. The analysis on connectedness within a community reveals the importance of real-world interaction. Lastly, we depict a probable image of the entire ecology on {\\em mixi} among users and communities, which contributes broadly to social systems on the Web.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 22 (5), 531-541, 2007
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205108327680
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- NII論文ID
- 10020083227
- 10022008079
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- NII書誌ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- HANDLE
- 10112/2275
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- NDL書誌ID
- 9604227
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- IRDB
- NDLサーチ
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
