An analysis of CGM contents pageview using SIR model and GBM

Kazuhisa Noguchi, Tomoya Iida, Eisuke Ito

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    抄録

    In consumer generated media (CGM) site, such as YouTube and nicovideo, only few contents are viewed very much, but most contents are only viewed few times. Our research target CGM sites are nicovideo.jp and syosetu.com. Nicovideo.jp is a popular movie CGM site in Japan and syosetu.com is the largest novel CGM site in Japan. We already found that pageview distribution of contents in both CGM sites follow a lognormal distribution. In this paper, we consider user's content selection model which will lead lognormal distribution. We apply Geometric Brownian Motion model into SIR model. SIR model is used for simulation of population transition process or epidemic process of infection disease. In this paper, we report the results of some simulation.

    本文言語英語
    ホスト出版物のタイトルProceedings of 2017 International Conference on Compute and Data Analysis, ICCDA 2017
    出版社Association for Computing Machinery
    ページ19-22
    ページ数4
    ISBN(電子版)9781450352413
    DOI
    出版ステータス出版済み - 5 19 2017
    イベント2017 International Conference on Compute and Data Analysis, ICCDA 2017 - Lakeland, 米国
    継続期間: 5 19 20175 23 2017

    出版物シリーズ

    名前ACM International Conference Proceeding Series
    Part F130280

    その他

    その他2017 International Conference on Compute and Data Analysis, ICCDA 2017
    国/地域米国
    CityLakeland
    Period5/19/175/23/17

    All Science Journal Classification (ASJC) codes

    • ソフトウェア
    • 人間とコンピュータの相互作用
    • コンピュータ ビジョンおよびパターン認識
    • コンピュータ ネットワークおよび通信

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