Evolution of cooperation on temporal networks

Aming Li; Lei Zhou; Qi Su; Sean P. Cornelius; Yang-Yu Liu; Long Wang; Simon A. Levin

doi:10.1038/s41467-020-16088-w

Nature Communications (May 2020)

Evolution of cooperation on temporal networks

Aming Li,
Lei Zhou,
Qi Su,
Sean P. Cornelius,
Yang-Yu Liu,
Long Wang,
Simon A. Levin

Affiliations

Aming Li: Center for Systems and Control, College of Engineering, Peking University
Lei Zhou: Center for Systems and Control, College of Engineering, Peking University
Qi Su: Center for Systems and Control, College of Engineering, Peking University
Sean P. Cornelius: Center for Complex Network Research and Department of Physics, Northeastern University
Yang-Yu Liu: Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School
Long Wang: Center for Systems and Control, College of Engineering, Peking University
Simon A. Levin: Department of Ecology and Evolutionary Biology, Princeton University

DOI: https://doi.org/10.1038/s41467-020-16088-w
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 9

Abstract

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Population structure enables emergence of cooperation among individuals, but the impact of the dynamic nature of real interaction networks is not understood. Here, the authors study the evolution of cooperation on temporal networks and find that temporality enhances the evolution of cooperation.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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