Frequency and link analysis of online novels toward social contents ranking

Eisuke Ito, Kazunori Shimizu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    User generated contents service is a social service because users not only enjoy contents but also provide feedback on content by commenting, tagging and book marking. 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 book marking 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 book marked novels and favorite authors is also explored.

    Original languageEnglish
    Title of host publicationProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
    Pages531-536
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012 - Xiangtan, Hunan, China
    Duration: Nov 1 2012Nov 3 2012

    Publication series

    NameProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012

    Other

    Other2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012
    CountryChina
    CityXiangtan, Hunan
    Period11/1/1211/3/12

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Software

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