Naoki Masuda


Naoki Masuda.

Naoki Masuda


Naoki Masuda


Associate Professor

Research Interests

Applied Mathematics — Applied Probability and Statistics, Dynamical Systems, Stability and Bifurcation, Stochastic Processes.


PhD, University of Tokyo

Research Summary

Network Science — dynamical processes (e.g. contagion processes, random walks, synchronization) on networks, temporal networks, core-periphery structure, industrial applications

Mathematical Biology — collective behavior of animals, networks in neuroscience and biology, evolutionary game theory, energy landscape analysis.

Selected Publications

Takahiro Ezaki, Michiko Sakaki, Takamitsu Watanabe, Naoki Masuda. Age-related changes in the ease of dynamical transitions in human brain activity. Human Brain Mapping, 39, 2673-2688 (2018).

Naoki Masuda, Luis E. C. Rocha. A Gillespie algorithm for non-Markovian stochastic processes. SIAM Review, 60, 95-115 (2018).

Tomokatsu Onaga, James P. Gleeson, Naoki Masuda. Concurrency-induced transitions in epidemic dynamics on temporal networks. Physical Review Letters, 119, 108301 (2017).

Naoki Masuda, Mason A. Porter, Renaud Lambiotte. Random walks and diffusion on networks. Physics Reports, 716-717, 1-58 (2017). 

Naoki Masuda, Renaud Lambiotte. A Guide to Temporal Networks. World Scientific, Singapore (2016).