Show simple item record

dc.contributor.authorMungovan, Declan
dc.contributor.authorHowley, Enda
dc.contributor.authorDuggan, James
dc.date.accessioned2013-12-19T12:59:36Z
dc.date.available2013-12-19T12:59:36Z
dc.date.issued2011-05
dc.identifier.citationMungovan, D,Howley, E,Duggan, J (2011) 'The influence of random interactions and decision heuristics on norm evolution in social networks'. Computational And Mathematical Organization Theory, 17 :152-178.en_US
dc.identifier.issn1381-298X
dc.identifier.urihttp://hdl.handle.net/10379/3934
dc.descriptionJournal articleen_US
dc.description.abstractIn this paper we explore the effect that random social interactions have on the emergence and evolution of social norms in a simulated population of agents. In our model agents observe the behaviour of others and update their norms based on these observations. An agent's norm is influenced by both their own fixed social network plus a second random network that is composed of a subset of the remaining population. Random interactions are based on a weighted selection algorithm that uses an individual's path distance on the network to determine their chance of meeting a stranger. This means that friends-of-friends are more likely to randomly interact with one another than agents with a higher degree of separation. We then contrast the cases where agents make highest utility based rational decisions about which norm to adopt versus using a Markov Decision process that associates a weight with the best choice. Finally we examine the effect that these random interactions have on the evolution of a more complex social norm as it propagates throughout the population. We discover that increasing the frequency and weighting of random interactions results in higher levels of norm convergence and in a quicker time when agents have the choice between two competing alternatives. This can be attributed to more information passing through the population thereby allowing for quicker convergence. When the norm is allowed to evolve we observe both global consensus formation and group splintering depending on the cognitive agent model used.en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofComputational And Mathematical Organization Theoryen
dc.subjectSocial networksen_US
dc.subjectNormsen_US
dc.subjectAgent based modelingen_US
dc.subjectRandom dynamic interactionsen_US
dc.titleThe influence of random interactions and decision heuristics on norm evolution in social networksen_US
dc.typeArticleen_US
dc.date.updated2013-09-18T14:39:19Z
dc.identifier.doiDOI 10.1007/s10588-011-9085-7
dc.local.publishedsourcehttp://dx.doi.org/10.1007/s10588-011-9085-7en_US
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid1335095
dc.local.contactJames Duggan, Dept. Of Information Technology, I.T. Building, Nui Galway. 3336 Email: james.duggan@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionSUBMITTED
nui.item.downloads480


Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:

Thumbnail

This item appears in the following Collection(s)

Show simple item record