Thesis for a degree 【 display / non-display 】

Thesis for a degree 【 display / non-display 】

• Mining and modeling temporal structures of human behavior in digital platforms

  Akira Matsui

  2022.5

  Doctoral Thesis   Single Work  

Papers 【 display / non-display 】

Papers 【 display / non-display 】

• The Chance of Winning Election Impacts on Social Media Strategy

  Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai

  ICWSM23   2023.6  [Reviewed]

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  Language：English   Publishing type：Research paper (international conference proceedings)   Joint Work  

• Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan

  Kunihiro Miyazaki, Taichi Murayama, Akira Matsui, Masaru Nishikawa, Takayuki Uchiba, Haewoon Kwak, … Show more authors

  ACM Web Science Conference (WebSci) 2023   2023.5  [Reviewed]

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  Language：English   Publishing type：Research paper (international conference proceedings)   Joint Work  

• Hybrid forecasting of geopolitical events†

  Benjamin Daniel M. M., Morstatter Fred, Abbas Ali E. E., Abeliuk Andres, Atanasov Pavel, Bennett St … Show more authors

  AI MAGAZINE   44 ( 1 )   112 - 128   2023.3  [Invited]

  DOI Web of Science

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  Language：English   Publishing type：Research paper (scientific journal)   Joint Work  

• Analysis of Social Media Reaction to Prime Ministers' Change of Japan

  MIYAZAKI Kunihiro, MURAYAMA Taichi, MATSUI Akira, UCHIBA Takayuki, KWAK Haewoon, AN Jisun

  Proceedings of the Annual Conference of JSAI   JSAI2023 ( 0 )   2P5GS1102 - 2P5GS1102   2023

  DOI CiNii Research

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  Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Japanese Society for Artificial Intelligence   Joint Work  

  <p>We investigate Twitter users' reactions to the changes of the prime minister of Japan. In particular, we examine how users' sentiments changed before and after the changes. We also analyze the topics and user transitions related to the changes. The results show that the public's sentiment toward the prime minister improves when a new prime minister takes office, that sentiment changes differently for each topic, and that the topics users expect differ for each prime minister. We also found that the user base who mentioned the prime minister before and after the change was significantly replaced. These results would be helpful in understanding the public's reaction to the change of prime ministers in Japan and for effective administrative management.</p>

• A Deep Learning Approach to Quantitative Analysis of Traditional Japanese Artworks: Exploring the Latent Features of Ukiyo-e

  HONNA Shinichi, MATSUI Akira

  Proceedings of the Annual Conference of JSAI   JSAI2023 ( 0 )   3Xin430 - 3Xin430   2023

  DOI CiNii Research

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  Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Japanese Society for Artificial Intelligence   Joint Work  

  <p>This study quantitatively investigates ukiyo-e, a traditional Japanese artwork, and extracts the latent features of artworks using a deep learning model. We employ a deep learning model to extract the latent features of more than 9,000 ukiyo-e artworks, utilizing the VGG models and examining the model's layers to identify the characteristics of representative ukiyo-e artists. With the obtained model, we conduct a within-artist study to capture the transition of artists’ styles of each artist to understand the career trajectory of Ukiyo-e artists according to their school or popularity. While most previous studies focus on the part of the artwork, such as the faces of the portrait, our study aims to deliver a holistic study of ukiyo-e artwork based on the whole of the images, including backgrounds. Through this holistic study, we aim to advance the quantitative measurement of traditional artworks in Japan.</p>

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Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• 消費者の移動行動を基点とした商圏内小売競争構造の動態的把握に関する研究

  Grant number： 21H00756  2021.4 - 2024.3

  Grant-in-Aid for Scientific Research(B)

  Investigator(s)：寺本 高

• 日本における科学者学：大規模な研究者データ構築による郵送限定公募の効果分析

  Grant number：22K20159  2020.9 - 2023.3

  Grant-in-Aid for Research Activity start-up

  Investigator(s)：松井暉

Other external funds procured 【 display / non-display 】

Other external funds procured 【 display / non-display 】

• 陰謀論への流入経路の特定と人々の傾倒を未然に防ぐフレームワークの開発

  2023.9 - 2027.3

  Japan Science and Technology Agency  SDGsの達成に向けた共創的研究開発プログラム情報社会における社会的側面からのトラスト形成

  Investigator(s)：村山太一

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  Authorship：Coinvestigator(s) 

Charge of on-campus class subject 【 display / non-display 】

Charge of on-campus class subject 【 display / non-display 】

• 2023   Data Science for Social Science

  Graduate School of International Social Sciences

• 2023   Basic Statistics

  Liberal Arts Education

• 2023   Pre-Seminar

  College of Business Administration

• 2023   Seminar : Business Data Science 1

  College of Business Administration

• 2023   Statistical Modeling and Machine Learning

  College of Business Administration