Presentation 2013-01-24
A probabilistic model of television commercial markets
Hiroyuki KYAN, Jun-ichi INOUE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a simple probabilistic model of zapping process of television viewers. Our model might be regarded as a `theoretical platform' to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called gross rating point (GRP for short) are reconstructed using the microscopic modeling of each viewer's decision making. Assuming that each viewer de-cides the television station to watch by means of three factors, namely, physical constraints on television controllers, exogenous information such as advertisement of program by television station, and endogenous information given by 'word-of-mouth communication' through the past market history, we shall construct an aggregation probability of Gibbs-Boltzmann-type with the energy function. We discuss the possibility for the ingredients of the model system to exhibit the collective behavior due to not exogenous but endogenous information.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) TV commercials / Decision making / Many-body problems / Time-series analysis / Econophysics / Socio-physics
Paper # NLP2012-114,NC2012-104
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Conference Information
Committee NLP
Conference Date 2013/1/17(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A probabilistic model of television commercial markets
Sub Title (in English)
Keyword(1) TV commercials
Keyword(2) Decision making
Keyword(3) Many-body problems
Keyword(4) Time-series analysis
Keyword(5) Econophysics
Keyword(6) Socio-physics
1st Author's Name Hiroyuki KYAN
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Jun-ichi INOUE
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2013-01-24
Paper # NLP2012-114,NC2012-104
Volume (vol) vol.112
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue