Jun Yamamoto

PhD candidate in Network Science
Department of Network and Data Science, Central European University

CV Mail ORCID Google Scholar

I am a PhD candidate in Network Science in the Department of Network and Data Science at Central European University in Vienna. I am interested in the interplay between network structure and dynamics, particularly in physical networks and their coarse-grained representations. My PhD project focuses on understanding how physical constraints influence network topology and dynamics, including Laplacian eigenmode localization and synchronization.

My research interests and ongoing projects include:

• physical networks — topology-physicality correlations, Laplacian dynamics, spectral theory;

• scaling theory for networks — scale-invariance, hierarchical models, criticality, long-range degree-correlation;

• network synchronization — modular and hierarchical synchronization, coarse-graining, and experimental realizations of oscillator networks.

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 physicality
• Network dynamics
• Scale-invariance
• Critical phenomena

News

• 2026-07-16: I co-organized a networking event for Japanese researchers in Austria at the Official Residence of the Japanese Ambassador in Vienna, Austria.

• 2026-06~2026-07: I visited the Barabasi Lab at Northeastern University in Boston, USA, for a research stay as an AccelNet-MultiNet fellow.

• 2026-06-02: Physical Networks, IV edition, a NetSci satellite event for physical networks was held at NetSci26 in Boston.

• 2026-02-17: I presented a poster on localization transitions in Laplacian eigenmodes of physical networks at the Network Science Seminar AY2025/26 in Kyoto, Japan.