|
General Joint Sessions and Workshops of WMSCI 2018 and its Collocated Events
July 8-11, 2018 ~ Orlando, Florida, USA
|
Research on Social Media Writing and Search Behavior Sociophysics Approach
Professor Akira Ishii, Department of Applied Mathematics and Physics, Tottori University, Japan / Drs. Nozomi Okano, Ph.D. candidate, Department of Applied Mathematics and Physics, Tottori University, Japan
|
Video
Video
Bio
Bio
Abstract
Abstract
|
|
|
Dr. Akira Ishii is a professor of Applied Mathematics and Physics at the Tottori University, Japan. He is a member of the Physical Society of Japan and the chairman of the Computational Social Science Japan. He obtained a Ph. D. from Waseda University in Tokyo in 1985. After a postdoctoral fellow at the University of Tukuba in Japan and the Imperial College London, he obtained a tenured research position at Tottori University as an assistant professor of Physics. He has experience to stay Fritz Haber Institute of the Max Planck Society as guest professor. He organized two international conference and workshop on solid state physics, one international workshop in Japan and two international workshops in IEEE BigData on applications of big data analysis to computational social science at 2016 and 2017. He is an expert in the solid state theory and the sociophysics as complex systems. He presented a sociophysics theory "mathematical model for hit phenomena" which can be applied to many social phenomena including the prediction of every year "general election" of AKB48 group (very popular Japanese pop music group having about 300 young girls).
People search on the Internet for matters of interest, and further post their opinions and impressions, support for other people's opinions, criticisms, etc. on social media. The behavior of such people is recorded on the Internet, and its record can be analyzed as data. We analyzed the mathematical model of hit phenomenon analyzing people's posting behavior to social media and the two theories of social physics such as mathematical model of retrieval behavior to analyze retrieval behavior. I will tell you that you can analyze entertainment, topics with seasonality, trends and so on.
|
|