Definition
Masaru Masuda is a Japanese mathematician and network scientist known for his contributions to the study of complex networks, statistical physics, and data science.
Overview
Masaru Masuda (増田 勝) holds a professorship in the Department of Applied Mathematics at the University of Tokyo. He obtained his Ph.D. in mathematics from the University of Tokyo, where his dissertation focused on the statistical mechanics of networks. Masuda’s research interests encompass synchronization phenomena in networks, multilayer network structures, epidemic spreading, and the development of analytical and computational methods for large‑scale data analysis. He has authored numerous peer‑reviewed articles in leading scientific journals and has co‑edited the textbook Network Science (Springer, 2016). Masuda has also served on editorial boards of journals such as Physical Review E and Journal of Complex Networks and is a regular speaker at international conferences on complex systems.
Etymology / Origin
The given name Masaru (勝) is a Japanese masculine name commonly interpreted as “victory” or “excellence.” The surname Masuda (増田) combines the characters for “increase” (増) and “rice field” (田), a typical Japanese family name indicating ancestral ties to agricultural land.
Characteristics
- Academic Discipline: Applied mathematics, statistical physics, and network science.
- Research Highlights:
- Development of theoretical frameworks for multilayer and temporal networks.
- Studies on the impact of network topology on synchronization and contagion processes.
- Introduction of methods for community detection and centrality measures in weighted networks.
- Publications: Over 150 scientific articles; notable works include collaborations with Albert-László Barabási and Duncan J. Watts.
- Awards and Honors: Recipient of the Japan Society for the Promotion of Science (JSPS) Research Fellowship and the IEEE Computational Intelligence Society Early‑Career Award.
- Professional Service: Member of the International Network for Computational Social Science; reviewer for Nature Communications and Science Advances.
Related Topics
- Complex networks
- Multilayer network theory
- Synchronization in dynamical systems
- Epidemic modeling on networks
- Statistical mechanics
- Japanese contributions to mathematics and data science