activity
20172019
most citedOpinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet

18 citations · 27 across the 6 of their papers we have counts for

collaborators

8 papers

cs.SI2019

A study of trends in the effects of TV ratings and social media (Twitter) -- Case study 1

Takuya Ueoka, Akira Ishii, Yasuko Kawahata

The Japanese TV program 'Drama A' is a drama broadcast from October to December 2016. The audience rating was sluggish, but this drama marked a high audience rating in 2016. Since…

cs.SI20193 cited

Consensus formation Online using Sociophysics method

Yasuko Kawahata, Akira Ishii

Consensus formation and difference of opinion have long been the subject of research. However, relevant laws and systems within society are being updated to reflect the changes in…

physics.soc-ph2019

The Influence of Social Media Writing on Online Search Behavior for Seasonal Events: The Sociophysics Approach

Nozomi Okano, Masaru Higashi, Akira Ishii

Using seasonal topics as the study subject, in this study, we focus on the timing gap between social media writing and online search behavior. To conduct our analysis, we used the…

physics.soc-ph201818 cited

Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet

Akira Ishii, Yasuko Kawahata

The massive amount of text data on the web has facilitated research on the quantitative analysis of public opinion, which could not be visualized earlier. In this paper, we propose…

physics.soc-ph2018

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

Akira Ishii, Toshimichi Wakabayashi, Nozomi Okano +1

We studied the time interval between posting social media content and search action related to seasonal topics. The analysis was performed using a mathematical model of the search…

physics.soc-ph20174 cited

Analysis and Predictions of Social Phenomena via social media using Social Physics method

Akira Ishii

As a method of analyzing and predicting social phenomena using social media as data, we propose a method using a mathematical model of hit phenomenon which is the theory of social…