ArticleScientific reports2017
Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Evolution of conditional cooperation in public good games.Royal Society open science · 2020Article
- The effect of asymmetric reproductive ability on the evolution of cooperation on interdependent networks.Scientific reports · 2019Article
- A dynamic vaccination strategy to suppress the recurrent epidemic outbreaks.Chaos, solitons, and fractals · 2018Article
- Evolution of Cooperation with Heterogeneous Conditional Cooperators.Scientific reports · 2018Article
- The evolution of cooperation in signed networks under the impact of structural balance.PloS one · 2018Article
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Authors and funding
5 authors.
Funding
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Abstract
In realistic social system, the role or influence of each individual varies and adaptively changes in time in the population. Inspired by this fact, we thus consider a new coevolution setup of game strategy and vertex weight on a square lattice. In detail, we model the structured population on a square lattice, on which the role or influence of each individual is depicted by vertex weight, and the prisoner's dilemma game has been applied to describe the social dilemma of pairwise interactions of players. Through numerical simulation, we conclude that our coevolution setup can promote the evolution of cooperation effectively. Especially, there exists a moderate value of δ for each ε that can warrant an optimal resolution of social dilemma. For a further understanding of these results, we find that intermediate value of δ enables the strongest heterogeneous distribution of vertex weight. We hope our coevolution setup of vertex weight will provide new insight for the future research.
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Registered trials
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