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dc.contributor.authorYe, Mengbin
dc.contributor.authorQin, Y.
dc.contributor.authorGovaert, A.
dc.contributor.authorAnderson, B.D.O.
dc.contributor.authorCao, M.
dc.date.accessioned2021-04-16T01:19:56Z
dc.date.available2021-04-16T01:19:56Z
dc.date.issued2019
dc.identifier.citationYe, M. and Qin, Y. and Govaert, A. and Anderson, B.D.O. and Cao, M. 2019. An influence network model to study discrepancies in expressed and private opinions. Automatica. 107: pp. 371-381.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/83247
dc.identifier.doi10.1016/j.automatica.2019.05.059
dc.description.abstract

In many social situations, a discrepancy arises between an individual's private and expressed opinions on a given topic. Motivated by Solomon Asch's seminal experiments on social conformity and other related socio-psychological works, we propose a novel opinion dynamics model to study how such a discrepancy can arise in general social networks of interpersonal influence. Each individual in the network has both a private and an expressed opinion: an individual's private opinion evolves under social influence from the expressed opinions of the individual's neighbours, while the individual determines his or her expressed opinion under a pressure to conform to the average expressed opinion of his or her neighbours, termed the local public opinion. General conditions on the network that guarantee exponentially fast convergence of the opinions to a limit are obtained. Further analysis of the limit yields several semi-quantitative conclusions, which have insightful social interpretations, including the establishing of conditions that ensure every individual in the network has such a discrepancy. Last, we show the generality and validity of the model by using it to explain and predict the results of Solomon Asch's seminal experiments.

dc.languageEnglish
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/DP160104500
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectAutomation & Control Systems
dc.subjectEngineering, Electrical & Electronic
dc.subjectEngineering
dc.subjectOpinion dynamics
dc.subjectSocial network analysis
dc.subjectNetworks
dc.subjectAgent-based model
dc.subjectSocial conformity
dc.subjectPLURALISTIC IGNORANCE
dc.subjectSOCIAL-INFLUENCE
dc.subjectDYNAMICS
dc.subjectCONSENSUS
dc.subjectEVOLUTION
dc.subjectTUTORIAL
dc.subjectPOWER
dc.titleAn influence network model to study discrepancies in expressed and private opinions
dc.typeJournal Article
dcterms.source.volume107
dcterms.source.startPage371
dcterms.source.endPage381
dcterms.source.issn0005-1098
dcterms.source.titleAutomatica
dc.date.updated2021-04-16T01:19:56Z
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidYe, Mengbin [0000-0003-1698-0173]
dcterms.source.eissn1873-2836
curtin.contributor.scopusauthoridYe, Mengbin [56203529600]


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