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Sharp thresholds limit the benefit of defector avoidance in cooperation on networks

Abstract:
Consider a cooperation game on a spatial network of habitat patches, where players can relocate between patches if they judge the local conditions to be unfavorable. In time, the relocation events may lead to a homogeneous state where all patches harbor the same relative densities of cooperators and defectors, or they may lead to self-organized patterns, where some patches become safe havens that maintain an elevated cooperator density. Here we analyze the transition between these states mathematically. We show that safe havens form once a certain threshold in connectivity is crossed. This threshold can be analytically linked to the structure of the patch network and specifically to certain network motifs. Surprisingly, a forgiving defector avoidance strategy may be most favorable for cooperators. Our results demonstrate that the analysis of cooperation games in ecological metacommunity models is mathematically tractable and has the potential to link topics such as macroecological patterns, behavioral evolution, and network topology.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1073/pnas.2120120119

Authors


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Role:
Author
ORCID:
0000-0001-9138-3593
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Institution:
University of Oxford
Division:
SSD
Department:
Sociology
Role:
Author
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Role:
Author
ORCID:
0000-0002-0669-5267
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Role:
Author
ORCID:
0000-0002-8216-5639


Publisher:
National Academy of Sciences
Journal:
Proceedings of the National Academy of Sciences More from this journal
Volume:
119
Issue:
33
Article number:
e2120120119
Publication date:
2022-08-08
Acceptance date:
2022-07-09
DOI:
EISSN:
1091-6490
ISSN:
0027-8424


Language:
English
Keywords:
Pubs id:
1280208
Local pid:
pubs:1280208
Deposit date:
2022-09-29

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