Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution

Abstract In recent years, there has been growing interest in studying games on multiplex networks that account for interactions across linked social contexts. However, little is known about how potential cross-context interference, or spillover, of individual behavioural strategy impact overall coop...

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Autores principales:	Tommy Khoo, Feng Fu, Scott Pauls
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b264ecc45a7d457cb9134e3ec1d47765
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spelling	oai:doaj.org-article:b264ecc45a7d457cb9134e3ec1d477652021-12-02T16:07:52ZSpillover modes in multiplex games: double-edged effects on cooperation and their coevolution10.1038/s41598-018-25025-32045-2322https://doaj.org/article/b264ecc45a7d457cb9134e3ec1d477652018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25025-3https://doaj.org/toc/2045-2322Abstract In recent years, there has been growing interest in studying games on multiplex networks that account for interactions across linked social contexts. However, little is known about how potential cross-context interference, or spillover, of individual behavioural strategy impact overall cooperation. We consider three plausible spillover modes, quantifying and comparing their effects on the evolution of cooperation. In our model, social interactions take place on two network layers: repeated interactions with close neighbours in a lattice, and one-shot interactions with random individuals. Spillover can occur during the learning process with accidental cross-layer strategy transfer, or during social interactions with errors in implementation. Our analytical results, using extended pair approximation, are in good agreement with extensive simulations. We find double-edged effects of spillover: increasing the intensity of spillover can promote cooperation provided cooperation is favoured in one layer, but too much spillover is detrimental. We also discover a bistability phenomenon: spillover hinders or promotes cooperation depending on initial frequencies of cooperation in each layer. Furthermore, comparing strategy combinations emerging in each spillover mode provides good indication of their co-evolutionary dynamics with cooperation. Our results make testable predictions that inspire future research, and sheds light on human cooperation across social domains.Tommy KhooFeng FuScott PaulsNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tommy Khoo Feng Fu Scott Pauls Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
description	Abstract In recent years, there has been growing interest in studying games on multiplex networks that account for interactions across linked social contexts. However, little is known about how potential cross-context interference, or spillover, of individual behavioural strategy impact overall cooperation. We consider three plausible spillover modes, quantifying and comparing their effects on the evolution of cooperation. In our model, social interactions take place on two network layers: repeated interactions with close neighbours in a lattice, and one-shot interactions with random individuals. Spillover can occur during the learning process with accidental cross-layer strategy transfer, or during social interactions with errors in implementation. Our analytical results, using extended pair approximation, are in good agreement with extensive simulations. We find double-edged effects of spillover: increasing the intensity of spillover can promote cooperation provided cooperation is favoured in one layer, but too much spillover is detrimental. We also discover a bistability phenomenon: spillover hinders or promotes cooperation depending on initial frequencies of cooperation in each layer. Furthermore, comparing strategy combinations emerging in each spillover mode provides good indication of their co-evolutionary dynamics with cooperation. Our results make testable predictions that inspire future research, and sheds light on human cooperation across social domains.
format	article
author	Tommy Khoo Feng Fu Scott Pauls
author_facet	Tommy Khoo Feng Fu Scott Pauls
author_sort	Tommy Khoo
title	Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
title_short	Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
title_full	Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
title_fullStr	Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
title_full_unstemmed	Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
title_sort	spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/b264ecc45a7d457cb9134e3ec1d47765
work_keys_str_mv	AT tommykhoo spillovermodesinmultiplexgamesdoubleedgedeffectsoncooperationandtheircoevolution AT fengfu spillovermodesinmultiplexgamesdoubleedgedeffectsoncooperationandtheircoevolution AT scottpauls spillovermodesinmultiplexgamesdoubleedgedeffectsoncooperationandtheircoevolution
_version_	1718384679693844480

Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution

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