MISC
Columns, preprints & WPs
Magazine columns (Keizai Seminar), arXiv preprints, working papers, and conference reports — 33 entries. Full list on researchmap.
2026
- preprint Matsui, A.
Return of the solo author: The changing division of labor in science in the age of generative AI
- WP Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 8 — Temporally Evolving Networks
Keizai Seminar
- WP Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 7 — Propagation Phenomena on Networks
Keizai Seminar
- WP Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 6 — Graph Partitioning and Community Detection (2)
Keizai Seminar
2025
- WP Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 5 — Graph Partitioning and Community Detection (1)
Keizai Seminar
- preprint Sakai, S., Kwak, H., An, J. & Matsui, A.
Quantifying Gender Stereotypes in Japan between 1900 and 1999 with Word Embeddings
- column Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 4 — Generalized Random Networks
Keizai Seminar
- preprint Honna, S., Murayama, T. & Matsui, A.
Data-driven Methods of Extracting Text Structure and Information Transfer
- preprint Matsui, A., Fujikawa, K., Sasaki, R. & Adachi, R.
- preprint Matsui, A., Toriumi, F., Yoshida, M., et al.
Global Patterns of Knowledge: Language, Genre, and the Geography of Knowledge
arXiv
- WP Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 3 — Reproducing Degree Distributions and Network Generative Models
Keizai Seminar
- WP Kobayashi, T., Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 2 — Two Features Hidden in the Structure of Connections: Small-World and Clustering Properties
Keizai Seminar
- preprint Tanihara, T., Murayama, T., Lim, D. & Matsui, A.
arXiv
- WP Kobayashi, T. & Matsui, A.
Series “Reading the Economy through ‘Connections’: Network Science,” Vol. 1 — What Is “Network Science”?
Keizai Seminar
2024
- WP Akira Matsui
Conference Report: IC2S2 2023
Bulletin of the Japan Association for Computational Social Science
- column
“Citations” That Are Not Cited
Keizai Seminar (Nippon Hyoron Sha)
2023
- column
Changes in Interest in Food During the COVID-19 Pandemic
Keizai Seminar (Nippon Hyoron Sha)
- column
Consequences of Shutting Down Illegal Ad-Hosting Sites
Keizai Seminar (Nippon Hyoron Sha)
2022
- preprint Matsui, A. & Ferrara, E.
Extracting Fast and Slow: User-Action Embedding with Inter-temporal Information
arXiv
- column
Special Feature “Challenges of Computational Social Science”: Moderator of the Roundtable Discussion
Keizai Seminar (Nippon Hyoron Sha)
- column
Exploring the Inner Mind Through Words
Keizai Seminar (Nippon Hyoron Sha)
- column
Approaching the Cultural Evolution of “Love”
Keizai Seminar (Nippon Hyoron Sha)
- column
How a “Hot Streak” Begins
Keizai Seminar (Nippon Hyoron Sha)
2021
- column
Analyzing Hiring Behavior on Job-Search Sites with Detailed Data
Keizai Seminar (Nippon Hyoron Sha)
- column
Uncovering Axes of Analysis with Machine Learning from Large-Scale Posting Data
Keizai Seminar (Nippon Hyoron Sha)
- column
A Field Experiment on Marketing Strategies Using Mobile Device Location Data
Keizai Seminar (Nippon Hyoron Sha)
2020
- preprint Matsui, A., Ferrara, E., Morstatter, F., et al.
arXiv
- preprint Moriwaki, D., Hayakawa, Y., Munemasa, I., et al.
Unbiased Lift-based Bidding System
arXiv
- column
Special Feature “Network Science and Economics”: Moderator of the Roundtable Discussion
Keizai Seminar (Nippon Hyoron Sha)
- column
Quantifying Biases Hidden in Text with Machine Learning
Keizai Seminar (Nippon Hyoron Sha)
- column
The Science of Scientists
Keizai Seminar (Nippon Hyoron Sha)
2019
- WP Akira Matsui
Global Eye (No. 48): TA (Teaching Assistant)
Artificial Intelligence (Journal of the Japanese Society for Artificial Intelligence)
- column
Spread of Fake News (Low-Credibility Content) by Bots
Keizai Seminar (Nippon Hyoron Sha)