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Featured researches published by Yasuko Kawahata.


advances in computer entertainment technology | 2013

Possibility of Analysis of Big Data of Kabuki Play in 19th Century Using the Mathematical Model of Hit Phenomena

Yasuko Kawahata; Etsuo Genda; Akira Ishii

Kabuki was a popular entertainment in the Edo period in the 19th century from the 17th century. Kabuki in the Edo period was different from standing position as a traditional performing arts in modern. Methods of mathematical models in Nowadays has been selected topics in SNS through the Internet, they do not exist in the Edo period. In order to perform the calculation and measurement of popular artists of the Edo period, we were subject to publication of the paper medium is the only media at the time (Ukiyoe, poem, haiku,book) to there. With this approach, the study of past popular actor, with respect to the reputation of masterpiece can be also from the perspective of current.


Archive | 2014

Analysis of Local Concerts Using Facebook Adapting the Mathematical Model of Hit Phenomena

Yasuko Kawahata; Etsuo Genda; Chinami Hara; Akira Ishii

A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic process of interactions of human dynamics. The calculations for the Japanese motion picture market based on to the mathematical model agree very well with the actual residue distribution in time. Views of Facebook could be predicted by the number of all the action in the viewer Facebook on this paper. In other words, Views So if determined by the actions for which you want to advertise, we will begin to see is how to should be utilized in advertising using Facebook future.


international conference on big data | 2016

Analysis of Pokémon GO using sociophysics approach

Akira Ishii; Masanori Ajito; Yasuko Kawahata

We apply sociophysics approach using the mathematical model for hit phenomena to analyze Pokémon GO influence in society and the theoretical calculation describes the observed social media response well.


Frontiers of Physics in China | 2018

Sociophysics Analysis of the Dynamics of Peoples' Interests in Society

Akira Ishii; Yasuko Kawahata

As a method of analyzing and predicting social phenomena using social media as data, we present analyses based on the mathematical model of the hit phenomenon, which is one of the theories of sociophysics. The transition of the number of social media posts for movies, music concerts, and a YouTube movie are explained, using the mathematical model of the hit phenomenon. For entertainment topics, the direct communication strength, D, indicates the satisfaction of the current fans or supporters, whereas the indirect communication strength, P, indicates the power to acquire a new support layer. Thus, this is effective not only for the analysis of entertainment and marketing strategy but also for burst analysis on the social media.


International Journal of Affective Engineering | 2014

Analysis of Mathematical Model of Hit Phenomena Stage Actors of Japan

Yasuko Kawahata; Etsuo Genda; Hidehiko Koguch; Koki Uchiyama; Akira Ishii


international conference on biometrics | 2013

Revenue Prediction of Music Concerts Using the Mathematical Model of Hit Phenomena

Yasuko Kawahata; Etsuo Genda; Akira Ishii


Cloud and Super Computing 2013 | 2013

Promotion Theater Company adopting a mathematical model of the Hit Phenomenon

Yasuko Kawahata; Etsuo Genda; Chinami Hara; Akira Ishii


Proceedings of the Asia-Pacific Econophysics Conference 2016 — Big Data Analysis and Modeling toward Super Smart Society — (APEC-SSS2016) | 2017

Model of Market Share Affected by Social Media Reputation

Akira Ishii; Yasuko Kawahata; Ujo Goto


arXiv: Physics and Society | 2018

Analysis of social media content and search behavior related to seasonal topics using the sociophysics approach.

Akira Ishii; Toshimichi Wakabayashi; Nozomi Okano; Yasuko Kawahata


international conference on big data | 2017

Position-sensitive propagation of information on social media using social physics approach

Akira Ishii; Takayuki Mizuno; Yasuko Kawahata

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Takayuki Mizuno

National Institute of Informatics

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