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dc.contributor.authorGrowiec, Katarzyna
dc.contributor.authorGrowiec, Jakub
dc.contributor.authorKamiński, Bogumił
dc.date.accessioned2023-07-31T09:08:32Z
dc.date.available2023-07-31T09:08:32Z
dc.date.issued2018-05-10
dc.identifier.citationGrowiec K., Growiec J., Kamiński B., Social Network Dynamics : Individual-Level Mechanisms and Aggregate Outcomes, SGH KAE Working Papers, 2018, nr 2018/036, s. 1-40en
dc.identifier.urihttp://hdl.handle.net/20.500.12182/1141
dc.description.abstractBased on a calibrated computational multi-agent model with an overlapping generations structure, we investigate society-level consequences of creation and destruction of social ties at the individual level. The steady state of the simulated social network exhibits realistic small-world topology. We also find that societies whose social networks are relatively frequently reconfigured, display relatively higher social trust, willingness to cooperate, and economic performance - at the cost of lower social utility. Similar outcomes are found for societies where social tie dissolution is relatively weakly linked to family closeness.en
dc.language.isoen
dc.rightsDozwolony użytek*
dc.subjectsocial network structureen
dc.subjectsocial network dynamicsen
dc.subjectsocial trusten
dc.subjectwillingness to cooperateen
dc.subjecteconomic performanceen
dc.subjectcomputational multi-agent modelen
dc.subject.classificationC63en
dc.subject.classificationD85en
dc.subject.classificationJ31en
dc.subject.classificationL14en
dc.subject.classificationZ13en
dc.titleSocial Network Dynamics : Individual-Level Mechanisms and Aggregate Outcomesen
dc.typeworkingPaperen
dc.description.number2018/036en
dc.description.physical1-40en
dc.description.seriesSGH KAE Working Papers Seriesen
dc.identifier.urlpublisherhttp://wydawnictwo.sgh.waw.plen


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