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dc.contributor.author
Vasiliauskaite, Vaiva
dc.contributor.author
Hausladen, Carina Ines
dc.date.accessioned
2023-04-18T08:55:24Z
dc.date.available
2023-04-18T03:14:30Z
dc.date.available
2023-04-18T08:55:24Z
dc.date.issued
2023-03-15
dc.identifier.issn
2296-424X
dc.identifier.other
10.3389/fphy.2023.1125270
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/608227
dc.identifier.doi
10.3929/ethz-b-000608227
dc.description.abstract
This study investigates the effects of temporal changes at the individual and social levels and their impact on cooperation in social networks. A theoretical framework is proposed to explain the probability of cooperation as a function of endogenously driven periodic temporal variation and neural synchrony modeled as a diffusion process. Agents are simulated playing a prisoner's dilemma game, with and without evolution, in a two-player setting and on networks. Most importantly, we find that temporal variation and synchrony influence cooperation patterns in a non-trivial way and can enhance or suppress cooperation, depending on exact parameter values. Furthermore, some of our results point to promising future research on human subjects. Specifically, we find that cooperators can dramatically increase their payoff-as opposed to defectors-if neural synchrony is present. Furthermore, the more heterogeneous the synchrony between two agents, the less they cooperate. In a network setting, neural synchrony inhibits cooperation, and variation in circadian patterns counteracts this effect.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Media
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Cooperation
en_US
dc.subject
neural synchrony
en_US
dc.subject
temporal variation
en_US
dc.subject
neural activity
en_US
dc.subject
networks
en_US
dc.subject
circadian rhythms
en_US
dc.title
How do circadian rhythms and neural synchrony shape networked cooperation?
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Frontiers in Physics
ethz.journal.volume
11
en_US
ethz.pages.start
1125270
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
SoBigData++: An Integrated Infrastructures for Social Mining and Big Data Analytics
en_US
ethz.identifier.wos
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
ethz.grant.agreementno
871042
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.relation.isSupplementedBy
10.3929/ethz-b-000626979
ethz.relation.isReferencedBy
10.3929/ethz-b-000626979
ethz.date.deposited
2023-04-18T03:14:33Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2023-04-18T08:55:25Z
ethz.rosetta.lastUpdated
2024-02-02T21:41:43Z
ethz.rosetta.versionExported
true
ethz.COinS
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