Kazuki Nakajima (中嶋 一貴)
JSPS Research Fellow (PD)
Visiting Scholar, State University of New York at Buffalo
E-mail: kazuibasou (at) gmail.com
Go to researchmap (in Japanese)
News
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(2023/02) Our new preprint is now on arXiv.
Quantifying gender imbalance in East Asian academia.
K. Nakajima, R. Liu, K. Shudo, N. Masuda. arXiv preprint. (2023). -
(2023/01) Our new paper has been published.
Higher-order rich-club phenomenon in collaborative research grant networks.
K. Nakajima, K. Shudo, N. Masuda. Scientometrics. (2022).
Research
I am a JSPS Research Fellow (PD) at Tokyo Institute of Technology and also a visiting scholar at State University of New York at Buffalo.A huge amount of social data on human connections and behavior helps us to understand social structure and social dynamics. On the other hand, it is not uncommon that such data is unoptimized or limited in accessibility for research use. In such situations, I computationally address social problems by developing practical methods to collect and analyze data using computer science knowledge and sometimes manually preparing data.
For example, I have conducted research on methods to estimate structural properties of a large-scale online social network composed of friendships between users in social media (e.g., Facebook and Twitter).
- Social Graph Restoration via Random Walk Sampling.
K. Nakajima, K. Shudo. Proc. ICDE. (2022). - Estimating Properties of Social Networks via Random Walk considering Private Nodes.
K. Nakajima, K. Shudo. Proc. KDD. (2020).
I also have conducted research on methods to analyze structural properties of an empirical network involving higher-order interactions among nodes (e.g., group conversation and collaborative research).
- Higher-order rich-club phenomenon in collaborative research grant networks.
K. Nakajima, K. Shudo, N. Masuda. Scientometrics. (2023). - Randomizing hypergraphs preserving degree correlation and local clustering.
K. Nakajima, K. Shudo, N. Masuda. IEEE Transactions on Network Science and Engineering. (2022).
More recently, I have conducted quantitative research on academic system (e.g., academic gender imbalance and research funding) and researchers' careers using bibliographic data.
- Quantifying gender imbalance in East Asian academia.
K. Nakajima, R. Liu, K. Shudo, N. Masuda. arXiv preprint. (2023). - Higher-order rich-club phenomenon in collaborative research grant networks.
K. Nakajima, K. Shudo, N. Masuda. Scientometrics. (2023).
Areas of interest
- Computational Social Science
- Network Science
- Science of Science
Publications
CV
Last update: 2023/03/18