An analysis of CGM contents pageview using SIR model and GBM

Kazuhisa Noguchi; Tomoya Iida; Eisuke Ito

doi:10.1145/3093241.3093264

An analysis of CGM contents pageview using SIR model and GBM

Kazuhisa Noguchi, Tomoya Iida, Eisuke Ito

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of 2017 International Conference on Compute and Data Analysis, ICCDA 2017
Publisher	Association for Computing Machinery
Pages	19-22
Number of pages	4
ISBN (Electronic)	9781450352413
DOIs	https://doi.org/10.1145/3093241.3093264
Publication status	Published - May 19 2017
Event	2017 International Conference on Compute and Data Analysis, ICCDA 2017 - Lakeland, United States Duration: May 19 2017 → May 23 2017

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F130280

Other

Other	2017 International Conference on Compute and Data Analysis, ICCDA 2017
Country/Territory	United States
City	Lakeland
Period	5/19/17 → 5/23/17

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/3093241.3093264

Cite this

An analysis of CGM contents pageview using SIR model and GBM. / Noguchi, Kazuhisa; Iida, Tomoya; Ito, Eisuke.
Proceedings of 2017 International Conference on Compute and Data Analysis, ICCDA 2017. Association for Computing Machinery, 2017. p. 19-22 (ACM International Conference Proceeding Series; Vol. Part F130280).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. ACM International Conference Proceeding Series, vol. Part F130280, Association for Computing Machinery, pp. 19-22, 2017 International Conference on Compute and Data Analysis, ICCDA 2017, Lakeland, United States, 5/19/17. https://doi.org/10.1145/3093241.3093264

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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.",

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An analysis of CGM contents pageview using SIR model and GBM

Abstract

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All Science Journal Classification (ASJC) codes

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