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Naoki Masuda

4 papers hereh-index 224 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph4
same name
  • Naoki Masuda — 13 papers, h 4
  • Naoki Masuda — 3 papers
  • Naoki Masuda — 3 papers, h 1
  • Naoki Masuda — 3 papers, h 3
  • Naoki Masuda — 2 papers, h 2
  • Naoki Masuda — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedEvolutionary game dynamics with environmental feedback in a network with two communities

24 citations · 26 across the 4 of their papers we have counts for

collaborators

4 papers

physics.soc-ph2026

Coupling with opinion dynamics promotes prosocial behavior in multilayer networks

Jnanajyoti Bhaumik, Naoki Masuda

Various theoretical and empirical studies have accounted for why humans cooperate in competitive environments. Although prior work has revealed that network structure and multiplex…

physics.soc-ph2024★ 24 cited

Evolutionary game dynamics with environmental feedback in a network with two communities

Katherine Betz, Feng Fu, Naoki Masuda

Recent developments of eco-evolutionary models have shown that evolving feedbacks between behavioral strategies and the environment of game interactions, leading to changes in the…

physics.soc-ph2024★ 1 cited

Constant-selection evolutionary dynamics on weighted networks

Jnanajyoti Bhaumik, Naoki Masuda

The population structure often impacts evolutionary dynamics. In constant-selection evolutionary dynamics between two types, amplifiers of selection are networks that promote the f…

physics.soc-ph2023★ 1 cited

Fixation dynamics on multilayer networks

Ruodan Liu, Naoki Masuda

Network structure has a large impact on constant-selection evolutionary dynamics, with which multiple types of fitness (i.e., strength) compete on the network. Here we study consta…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.