Evolution of cooperation with asymmetric social interactions.

asymmetric relationships cooperation directed graphs evolutionary game theory

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
04 01 2022
Historique:
accepted: 23 11 2021
entrez: 5 1 2022
pubmed: 6 1 2022
medline: 22 2 2022
Statut: ppublish

Résumé

How cooperation emerges in human societies is both an evolutionary enigma and a practical problem with tangible implications for societal health. Population structure has long been recognized as a catalyst for cooperation because local interactions facilitate reciprocity. Analysis of population structure typically assumes bidirectional social interactions. But human social interactions are often unidirectional-where one individual has the opportunity to contribute altruistically to another, but not conversely-as the result of organizational hierarchies, social stratification, popularity effects, and endogenous mechanisms of network growth. Here we expand the theory of cooperation in structured populations to account for both uni- and bidirectional social interactions. Even though unidirectional interactions remove the opportunity for reciprocity, we find that cooperation can nonetheless be favored in directed social networks and that cooperation is provably maximized for networks with an intermediate proportion of unidirectional interactions, as observed in many empirical settings. We also identify two simple structural motifs that allow efficient modification of interaction directions to promote cooperation by orders of magnitude. We discuss how our results relate to the concepts of generalized and indirect reciprocity.

Identifiants

pubmed: 34983850
pii: 2113468118
doi: 10.1073/pnas.2113468118
pmc: PMC8740725
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2021 the Author(s). Published by PNAS.

Déclaration de conflit d'intérêts

The authors declare no competing interest.

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Auteurs

Qi Su (Q)

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104; qisu1991@sas.upenn.edu jplotkin@sas.upenn.edu.
Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.
Department of Mathematics, University of Pennsylvania, Philadelphia, PA 19104.

Benjamin Allen (B)

Department of Mathematics, Emmanuel College, Boston, MA 02115.

Joshua B Plotkin (JB)

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104; qisu1991@sas.upenn.edu jplotkin@sas.upenn.edu.
Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.
Department of Mathematics, University of Pennsylvania, Philadelphia, PA 19104.

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