ArticleNature communications2017
Metric clusters in evolutionary games on scale-free networks.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Oxytocin and the Punitive Hub-Dynamic Spread of Cooperation in Human Social Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- How disease risk awareness modulates transmission: coupling infectious disease models with behavioural dynamics.Royal Society open science · 2022Article
- Socio-demographic and health factors drive the epidemic progression and should guide vaccination strategies for best COVID-19 containment.Results in physics · 2021Article
- Random Walks with Invariant Loop Probabilities: Stereographic Random Walks.Entropy (Basel, Switzerland) · 2021Article
- Scaling up real networks by geometric branching growth.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Interplay between social influence and competitive strategical games in multiplex networks.Scientific reports · 2017Article
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Abstract
The evolution of cooperation in social dilemmas in structured populations has been studied extensively in recent years. Whereas many theoretical studies have found that a heterogeneous network of contacts favors cooperation, the impact of spatial effects in scale-free networks is still not well understood. In addition to being heterogeneous, real contact networks exhibit a high mean local clustering coefficient, which implies the existence of an underlying metric space. Here we show that evolutionary dynamics in scale-free networks self-organize into spatial patterns in the underlying metric space. The resulting metric clusters of cooperators are able to survive in social dilemmas as their spatial organization shields them from surrounding defectors, similar to spatial selection in Euclidean space. We show that under certain conditions these metric clusters are more efficient than the most connected nodes at sustaining cooperation and that heterogeneity does not always favor-but can even hinder-cooperation in social dilemmas.
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