Frequency and link analysis of online novels toward social contents ranking

• 伊東, 栄典

  Research Institute for Information Technology | Graduate school of ISEE

• 清水, 一憲

  Graduate school of ISEE | Research Institute for Information Technology

抄録

User generated contents service is a social service because users not only enjoy contents but also provide feedback on content by commenting, tagging and bookmarking. The authors are interested in social service ranking and categorization methods for online novels. Many readers comment and bookmark there favorite novels in online novel services. Comments and bookmarking are facilitated by readers, and it is possible to use the data as a resource for social ranking and recommendation. In this paper, we focused on an online novel service, and analyzed the frequency of keywords, number of authors, and links from readers to novels. Although the bipartite graph between readers and novels fulfills growth and preferential attachment conditions of scale- free network, distribution of links does not follow power law. The basic idea of social ranking using extracted bookmarked novels and favorite authors is also explored.

収録刊行物

• Proceedings of The 2nd International Conference on Social Computing and its Applications (SCA2012)

  Proceedings of The 2nd International Conference on Social Computing and its Applications (SCA2012) 531-536, 2012-11-01

  IEEE

キーワード

• online novel
• user comments
• link structure analysis
• social content recommendation

詳細情報

• CRID: 1050861482657977984
• NII論文ID: 120006655003
• HANDLE: 2324/25360
• 本文言語コード: en
• 資料種別: conference paper
• データソース種別:
  • IRDB
  • CiNii Articles