SNSにおける関係形成原理 : mixi のデータ分析  [in Japanese] How Relations are Built within a SNS World : Social Network Analysis on Mixi  [in Japanese]

Access this Article

Search this Article

Author(s)

Abstract

Our purpose here is to (1) investigate the structure of the personal networks developed on <I>mixi</I>, 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.

Journal

  • Transactions of the Japanese Society for Artificial Intelligence

    Transactions of the Japanese Society for Artificial Intelligence 22, 531-541, 2007-11-01

    The Japanese Society for Artificial Intelligence

References:  22

Cited by:  30

Codes

  • NII Article ID (NAID)
    10022008079
  • NII NACSIS-CAT ID (NCID)
    AA11579226
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    13460714
  • NDL Article ID
    9604227
  • NDL Source Classification
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL Call No.
    Z74-C589
  • Data Source
    CJP  CJPref  NDL  IR  J-STAGE 
Page Top