Jun Yamamoto
PhD candidate in Network Science
Department of Network and Data Science, Central European University
I am a PhD candidate in Network Science in the Department of Network and Data Science at Central European University in Vienna. My research develops analytical and numerical methods for complex networks whose effective structure is shaped not only by adjacency, but also by physical node volumes, spatial embedding, and multiscale organization.
The ongoing projects at CEU include eigenmode delocalization in physical Laplacians and modular synchronization in networks of spin Hall nano-oscillators. I am supervised by Prof. Márton Pósfai and Prof. János Kertész.
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Education
PhD in Network Science, In progress.
Department of Network and Data Science, Central European University
Vienna, Austria.MSc in Mathematics, 2023.
School of Mathematical Sciences, Queen Mary University of London
London, UK.BEng in Applied Physics, 2022.
Department of Applied Physics, Faculty of Engineering, Hokkaido University
Sapporo, Japan.
Interests
- Complex networks
- Network coarse-graining
- Laplacian dynamics
- Network physicality
- Multi-scale organization & scale-invariance
News
2026-06-15: I will be visiting the Barabasi Lab at Northeastern University in Boston, USA, for a research stay as an Accelnet-Multinet fellow.
2026-02-17: I presented a poster on “When node volume matters: Spectral transitions in physical Laplacians” at the Network Science Seminar AY2025/26 in Kyoto, Japan.
2026-02-16: I visited the Åkerman Lab at Tohoku University in Sendai, Japan.
2026-02-10~2026-02-13: I visited the Hasegawa Lab and Mizutaka Lab at Ibaraki University in Mito, Japan.
2026-02-09: I visited the Nakao Lab at the Science Tokyo.