Affiliation |
Faculty of International Social Sciences, Division of International Social Sciences |
Job Title |
Lecturer |
MATSUI Akira
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Degree 【 display / non-display 】
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Doctor of Philosophy(Computer Science) - University of Southern California
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Master of Economics - Kobe University
Campus Career 【 display / non-display 】
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2022.4
Duty Yokohama National UniversityFaculty of International Social Sciences Division of International Social Sciences Lecturer
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2022.4
Concurrently Yokohama National UniversityCollege of Business Administration Department of Business Administration Lecturer
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2022.4
Concurrently Yokohama National UniversityGraduate School of International Social Sciences Department of Business Administration Lecturer
Thesis for a degree 【 display / non-display 】
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Mining and modeling temporal structures of human behavior in digital platforms
Akira Matsui
2022.5
Doctoral Thesis Single Work
Papers 【 display / non-display 】
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Matsui, A; Kobayashi, T; Moriwaki, D; Ferrara, E
JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE 6 ( 2 ) 1179 - 1192 2023.10 [Reviewed]
Authorship:Lead author Language:English Publishing type:Research paper (scientific journal) Joint Work
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The Chance of Winning Election Impacts on Social Media Strategy
Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai
ICWSM23 2023.6 [Reviewed]
Language:English Publishing type:Research paper (international conference proceedings) Joint Work
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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
Kunihiro Miyazaki, Taichi Murayama, Akira Matsui, Masaru Nishikawa, Takayuki Uchiba, Haewoon Kwak, Jisun An Hide authors
ACM Web Science Conference (WebSci) 2023 2023.5 [Reviewed]
Language:English Publishing type:Research paper (international conference proceedings) Joint Work
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Hybrid forecasting of geopolitical events†
Benjamin Daniel M. M., Morstatter Fred, Abbas Ali E. E., Abeliuk Andres, Atanasov Pavel, Bennett St … Show more authors
Benjamin Daniel M. M., Morstatter Fred, Abbas Ali E. E., Abeliuk Andres, Atanasov Pavel, Bennett Stephen, Beger Andreas, Birari Saurabh, Budescu David V. V., Catasta Michele, Ferrara Emilio, Haravitch Lucas, Himmelstein Mark, Hossain K. S. M. Tozammel, Huang Yuzhong, Jin Woojeong, Joseph Regina, Leskovec Jure, Matsui Akira, Mirtaheri Mehrnoosh, Ren Xiang, Satyukov Gleb, Sethi Rajiv, Singh Amandeep, Sosic Rok, Steyvers Mark, Szekely Pedro A., Ward Michael D. D., Galstyan Aram Hide authors
AI MAGAZINE 44 ( 1 ) 112 - 128 2023.3 [Reviewed]
Language:English Publishing type:Research paper (scientific journal) Joint Work
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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
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>
Awards 【 display / non-display 】
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第3回計算社会科学大会 大会優秀賞
2024.2 計算社会科学会 大会優秀賞
Individual or group name of awards:本那 真一, 松井 暉
Grant-in-Aid for Scientific Research 【 display / non-display 】
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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
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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 】
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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
Authorship:Coinvestigator(s)
Presentations 【 display / non-display 】
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ネットワーク分析による日本美術作品の定量分析: 浮世絵の創造性の変化
本那 真一
計算社会科学会大会
Event date: 2024.2
Language:Japanese Presentation type:Oral presentation (general)
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Exploring Urban-Rural Disparities in the Production of Politicians' Information
Akira Matsui
The International Conference for Computational Social Science (IC2S2)
Event date: 2023.7
Language:English Presentation type:Oral presentation (general)
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Computational Framework of AST Model Reveals Mechanism of Knowledge Accumulation
Akira Matsui
The International Conference for Computational Social Science (IC2S2)
Event date: 2023.7
Language:English Presentation type:Oral presentation (general)
Charge of on-campus class subject 【 display / non-display 】
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2024 Business Statistics
Graduate School of International Social Sciences
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2024 Seminar 2b (Master's Programs)
Graduate School of International Social Sciences
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2024 Seminar 2a (Master's Programs)
Graduate School of International Social Sciences
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2024 Seminar 1b (Master's Programs)
Graduate School of International Social Sciences
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2024 Seminar 1a (Master's Programs)
Graduate School of International Social Sciences
Committee Memberships 【 display / non-display 】
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計算社会科学会
2023.4 PCメンバー
Committee type:Academic society