Naoki Masuda
PhD
Professor, Director of Graduate Studies
Research Interests
Applied Mathematics — Network Science, Mathematical Biology
Education
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).