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Interdependent network reciprocity in evolutionary games

Besides the structure of interactions within networks, also the interactions between networks are of the outmost importance. We therefore study the outcome of the public goods game on two interdependent networks that are connected by means of a utility function, which determines how payoffs on both...

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Detalles Bibliográficos
Autores principales: Wang, Zhen, Szolnoki, Attila, Perc, Matjaž
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560361/
https://www.ncbi.nlm.nih.gov/pubmed/23378915
http://dx.doi.org/10.1038/srep01183
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author Wang, Zhen
Szolnoki, Attila
Perc, Matjaž
author_facet Wang, Zhen
Szolnoki, Attila
Perc, Matjaž
author_sort Wang, Zhen
collection PubMed
description Besides the structure of interactions within networks, also the interactions between networks are of the outmost importance. We therefore study the outcome of the public goods game on two interdependent networks that are connected by means of a utility function, which determines how payoffs on both networks jointly influence the success of players in each individual network. We show that an unbiased coupling allows the spontaneous emergence of interdependent network reciprocity, which is capable to maintain healthy levels of public cooperation even in extremely adverse conditions. The mechanism, however, requires simultaneous formation of correlated cooperator clusters on both networks. If this does not emerge or if the coordination process is disturbed, network reciprocity fails, resulting in the total collapse of cooperation. Network interdependence can thus be exploited effectively to promote cooperation past the limits imposed by isolated networks, but only if the coordination between the interdependent networks is not disturbed.
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spelling pubmed-35603612013-02-01 Interdependent network reciprocity in evolutionary games Wang, Zhen Szolnoki, Attila Perc, Matjaž Sci Rep Article Besides the structure of interactions within networks, also the interactions between networks are of the outmost importance. We therefore study the outcome of the public goods game on two interdependent networks that are connected by means of a utility function, which determines how payoffs on both networks jointly influence the success of players in each individual network. We show that an unbiased coupling allows the spontaneous emergence of interdependent network reciprocity, which is capable to maintain healthy levels of public cooperation even in extremely adverse conditions. The mechanism, however, requires simultaneous formation of correlated cooperator clusters on both networks. If this does not emerge or if the coordination process is disturbed, network reciprocity fails, resulting in the total collapse of cooperation. Network interdependence can thus be exploited effectively to promote cooperation past the limits imposed by isolated networks, but only if the coordination between the interdependent networks is not disturbed. Nature Publishing Group 2013-01-31 /pmc/articles/PMC3560361/ /pubmed/23378915 http://dx.doi.org/10.1038/srep01183 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Wang, Zhen
Szolnoki, Attila
Perc, Matjaž
Interdependent network reciprocity in evolutionary games
title Interdependent network reciprocity in evolutionary games
title_full Interdependent network reciprocity in evolutionary games
title_fullStr Interdependent network reciprocity in evolutionary games
title_full_unstemmed Interdependent network reciprocity in evolutionary games
title_short Interdependent network reciprocity in evolutionary games
title_sort interdependent network reciprocity in evolutionary games
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560361/
https://www.ncbi.nlm.nih.gov/pubmed/23378915
http://dx.doi.org/10.1038/srep01183
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