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
VolumePart F130280
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

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

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

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    Noguchi, K., Iida, T., & Ito, E. (2017). An analysis of CGM contents pageview using SIR model and GBM. In Proceedings of 2017 International Conference on Compute and Data Analysis, ICCDA 2017 (Vol. Part F130280, pp. 19-22). Association for Computing Machinery. https://doi.org/10.1145/3093241.3093264