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dc.contributor.authorFisher, DN
dc.contributor.authorRodríguez-Muñoz, R
dc.contributor.authorTregenza, T
dc.date.accessioned2019-11-21T12:09:19Z
dc.date.issued2019-08-14
dc.description.abstractReproductive success is often highly skewed in animal populations. Yet the processes leading to this are not always clear. Similarly, connections in animal social networks are often nonrandomly distributed, with some individuals with many connections and others with few, yet whether there are simple explanations for this pattern has not been determined. Numerous social interactions involve dyads embedded within a wider network. As a result, it may be possible to model which individuals accumulate social interactions through a more general understanding of the social network's structure, and how this structure changes over time. We analysed fighting and mating interactions across the breeding season in a population of wild field crickets under surveillance from a network of video cameras. We fitted stochastic actor-oriented models to determine the dynamic process by which networks of cricket fighting and mating interactions form, and how they co-influence each other. We found crickets tended to fight those in close spatial proximity to them and those possessing a mutual connection in the fighting network, and heavier crickets fought more often. We also found that crickets that mated with many others tended to fight less in the following time period. This demonstrates that a mixture of spatial constraints, characteristics of individuals and characteristics of the immediate social environment are key for determining social interactions. The mating interaction network required very few parameters to understand its growth and thus its structure; only homophily by mating success was required to simulate the skew of mating interactions seen in this population. This demonstrates that relatively simple, but dynamic, processes can give highly skewed distributions of mating success.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 155, pp. 179 - 188en_GB
dc.identifier.doi10.1016/j.anbehav.2019.05.026
dc.identifier.grantnumberNE/H02249X/1en_GB
dc.identifier.grantnumberNE/L003635/1en_GB
dc.identifier.grantnumberNE/E005403/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39674
dc.language.isoenen_GB
dc.publisherElsevier Massonen_GB
dc.rights© 2019 The Authors. Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour. his is an open access article under the CC BYlicense (http://creativecommons.org/licenses/by/4.0/).Animal Behaviour 155 (2019) 179e188en_GB
dc.subjectdynamic analysisen_GB
dc.subjectGryllusen_GB
dc.subjectindividual-based modelen_GB
dc.subjectreproductive skewen_GB
dc.subjectsocial network analysisen_GB
dc.titleDynamic networks of fighting and mating in a wild cricket populationen_GB
dc.typeArticleen_GB
dc.date.available2019-11-21T12:09:19Z
dc.identifier.issn0003-3472
dc.descriptionThis is the final version. Available from the publisher via the DOI in this record.en_GB
dc.identifier.journalAnimal Behaviouren_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-05-24
exeter.funder::Natural Environment Research Council (NERC)en_GB
exeter.funder::Natural Environment Research Council (NERC)en_GB
exeter.funder::Natural Environment Research Council (NERC)en_GB
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-09-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-11-21T12:06:24Z
refterms.versionFCDVoR
refterms.dateFOA2019-11-21T12:09:22Z
refterms.panelAen_GB
refterms.depositExceptionpublishedGoldOA
refterms.depositExceptionExplanationhttps://doi.org/10.1016/j.anbehav.2019.05.026


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© 2019 The Authors. Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour. his is an open access article under the CC BYlicense (http://creativecommons.org/licenses/by/4.0/).Animal Behaviour 155 (2019) 179e188
Except where otherwise noted, this item's licence is described as © 2019 The Authors. Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour. his is an open access article under the CC BYlicense (http://creativecommons.org/licenses/by/4.0/).Animal Behaviour 155 (2019) 179e188