Network science · Statistical physics
Jun Yamamoto
PhD candidate in Network Science
Department of Network and Data Science
Central European University · Vienna, Austria
I am a theoretical network scientist, investigating the organizing principles of network structures and dynamics using statistical physics. My active research topics include physical networks, network coarse-graining and fractality, and network diffusion and synchronization.
Research
My research focuses on the structure and dynamics of physical and fractal networks, exploring how network topology and geometry influence transport and collective behavior.
Physical networks
How do network connectivity and spatial layout jointly shape transport and dynamic response?
Fractal networks
How do fractal property and scales impact network structure and function?
Network synchronization
How do synchronization patterns emerge in complex networks?
Education
-
PhD in Network ScienceIn progress · Central European University
Vienna, Austria -
MSc in Mathematics2023 · Queen Mary University of London
London, UK -
BEng in Applied Physics2022 · Hokkaido University
Sapporo, Japan
I am supervised by Prof. Márton Pósfai and Prof. János Kertész.
News
- Presented structural crossover in critical random networks at the Complexity of Life Conference, University of Graz, Austria.
- Co-organized a networking event for Japanese researchers in Austria at the Official Residence of the Japanese Ambassador in Vienna.
- Visited the Barabási Lab at Northeastern University as an AccelNet-MultiNet fellow.
- Co-organized Physical Networks IV, a NetSci satellite in Boston.
- Presented a poster on Laplacian eigenmode localization at the Network Science Seminar in Kyoto, Japan.