MATSUI Akira

Affiliation

Faculty of International Social Sciences, Division of International Social Sciences

Job Title

Lecturer

Mail Address

E-mail address


Degree 【 display / non-display

  • Doctor of Philosophy(Computer Science) - University of Southern California

  • Master of Economics - Kobe University

Campus Career 【 display / non-display

  • 2022.4
     
     

    Duty   Yokohama National UniversityFaculty of International Social Sciences   Division of International Social Sciences   Lecturer  

  • 2022.4
     
     

    Concurrently   Yokohama National UniversityGraduate School of International Social Sciences   Department of Business Administration   Lecturer  

  • 2022.4
     
     

    Concurrently   Yokohama National UniversityCollege of Business Administration   Department of Business Administration   Lecturer  

 

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

  • Detecting multi-timescale consumption patterns from receipt data: a non-negative tensor factorization approach

    Matsui, A; Kobayashi, T; Moriwaki, D; Ferrara, E

    JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE   6 ( 2 )   1179 - 1192   2023.10  [Reviewed]

    DOI Web of Science

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

  • 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  [Reviewed]

    DOI Web of Science

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

  • 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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Awards 【 display / non-display

  • 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

  • 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

  • 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) 

Presentations 【 display / non-display

  • 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 

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    Event date: 2024.2

    Language:Japanese   Presentation type:Oral presentation (general)  

  • Exploring Urban-Rural Disparities in the Production of Politicians' Information

    Akira Matsui

    The International Conference for Computational Social Science (IC2S2) 

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    Event date: 2023.7

    Language:English   Presentation type:Oral presentation (general)  

  • Computational Framework of AST Model Reveals Mechanism of Knowledge Accumulation

    Akira Matsui

    The International Conference for Computational Social Science (IC2S2) 

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    Event date: 2023.7

    Language:English   Presentation type:Oral presentation (general)  

 

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

  • 2024   Business Statistics

    Graduate School of International Social Sciences

  • 2024   Seminar 2b (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Seminar 2a (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Seminar 1b (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Seminar 1a (Master's Programs)

    Graduate School of International Social Sciences

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Committee Memberships 【 display / non-display

  • 計算社会科学会

    2023.4  PCメンバー

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    Committee type:Academic society