Global network cooperation catalysed by a small prosocial migrant clique

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


Colleges, School and Institutes

External organisations

  • University of Manchester


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
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
ISSN (Print)0302-9743


Conference15th International Conference on Unconventional Computation and Natural Computation (UCNC 2016)
CountryUnited Kingdom


  • cs.MA, cs.SI, physics.soc-ph