Global network cooperation catalysed by a small prosocial migrant clique

Steve Miller, Joshua Knowles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Much research has been carried out to understand the emergence of cooperation in simulated social networks of competing individuals. Such research typically implements a population as a single connected network. Here we adopt a more realistic premise; namely that populations consist of multiple networks, whose members migrate from one to another. Specifically, we isolate the key elements of the scenario where a minority of members from a cooperative network migrate to a network populated by defectors. Using the public goods game to model group-wise cooperation, we find that under certain circumstances, the concerted actions of a trivial number of such migrants will catalyse widespread behavioural change throughout an entire population. Such results support a wider argument: that the general presence of some form of disruption contributes to the emergence of cooperation in social networks, and consequently that simpler models may encode a determinism that precludes the emergence of cooperation.
Original languageEnglish
Title of host publicationUnconventional Computation and Natural Computation
Subtitle of host publication15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016, Proceedings
EditorsMartyn Amos, Anne Condon
PublisherSpringer
Pages62-74
ISBN (Electronic)9783319413129
ISBN (Print)9783319413112
DOIs
Publication statusPublished - 15 Jun 2016
Event15th International Conference on Unconventional Computation and Natural Computation (UCNC 2016) - Manchester, United Kingdom
Duration: 11 Jul 201615 Jul 2016

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9726
ISSN (Print)0302-9743

Conference

Conference15th International Conference on Unconventional Computation and Natural Computation (UCNC 2016)
Country/TerritoryUnited Kingdom
CityManchester
Period11/07/1615/07/16

Keywords

  • cs.MA
  • cs.SI
  • physics.soc-ph

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