An analysis of CGM contents pageview using SIR model and GBM

Kazuhisa Noguchi, Tomoya Iida, Eisuke Ito

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

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of 2017 International Conference on Compute and Data Analysis, ICCDA 2017
    PublisherAssociation for Computing Machinery
    Pages19-22
    Number of pages4
    ISBN (Electronic)9781450352413
    DOIs
    Publication statusPublished - May 19 2017
    Event2017 International Conference on Compute and Data Analysis, ICCDA 2017 - Lakeland, United States
    Duration: May 19 2017May 23 2017

    Publication series

    NameACM International Conference Proceeding Series
    VolumePart F130280

    Other

    Other2017 International Conference on Compute and Data Analysis, ICCDA 2017
    CountryUnited States
    CityLakeland
    Period5/19/175/23/17

    All Science Journal Classification (ASJC) codes

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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