ArticleNature communications2020
Evolution of cooperation on temporal networks.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 223 citations in OpenAlex.
- Coupling with opinion dynamics promotes prosocial behavior in multilayer networks.PLoS computational biology · 2026Article
- Temporality modulates the effect of network heterogeneity on cooperation fixation.Nature communications · 2026Article
- Strategy evolution on temporal hypergraphs.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Speaking of Opinions: Comparing Approaches to Modelling Opinion Manipulation.La matematica · 2026Review
- Coordination of network heterogeneity and individual preferences promotes collective fairness.Patterns (New York, N.Y.) · 2025Article
- Behavioral alignment in social networks.National science review · 2025Article
- Emergence of cooperation promoted by higher-order strategy updates.PLoS computational biology · 2025Article
- Promoting collective cooperation through temporal interactions.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Indirect reciprocity in the public goods game with collective reputations.Journal of the Royal Society, Interface · 2025Article
- Networked dynamic systems with higher-order interactions: stability versus complexity.National science review · 2024Article
- Game theory elucidates how competitive dynamics mediate animal social networks.BMC ecology and evolution · 2024Article
- Anticonformists catalyze societal transitions and facilitate the expression of evolving preferences.PNAS nexus · 2024Article
- Deterministic theory of evolutionary games on temporal networks.Journal of the Royal Society, Interface · 2024Article
- Dynamics of collective cooperation under personalised strategy updates.Nature communications · 2024Article
- Patterns in Temporal Networks with Higher-Order Egocentric Structures.Entropy (Basel, Switzerland) · 2024Article
- Bursts of communication increase opinion diversity in the temporal Deffuant model.Scientific reports · 2024Article
- Modulating the dynamics of NFκB and PI3K enhances the ensemble-level TNFR1 signaling mediated apoptotic response.NPJ systems biology and applications · 2023Article
- Constructing temporal networks with bursty activity patterns.Nature communications · 2023Article
- Reactivity of complex communities can be more important than stability.Nature communications · 2023Article
- Fixation probability in evolutionary dynamics on switching temporal networks.Journal of mathematical biology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
Abstract
Population structure is a key determinant in fostering cooperation among naturally self-interested individuals in microbial populations, social insect groups, and human societies. Traditional research has focused on static structures, and yet most real interactions are finite in duration and changing in time, forming a temporal network. This raises the question of whether cooperation can emerge and persist despite an intrinsically fragmented population structure. Here we develop a framework to study the evolution of cooperation on temporal networks. Surprisingly, we find that network temporality actually enhances the evolution of cooperation relative to comparable static networks, despite the fact that bursty interaction patterns generally impede cooperation. We resolve this tension by proposing a measure to quantify the amount of temporality in a network, revealing an intermediate level that maximally boosts cooperation. Our results open a new avenue for investigating the evolution of cooperation and other emergent behaviours in more realistic structured populations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.