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dc.contributor.authorDing, Zhaogangen
dc.contributor.authorDong, Yuchengen
dc.contributor.authorLiang, Haimingen
dc.contributor.authorChiclana, Franciscoen
dc.date.accessioned2017-03-09T09:30:56Z
dc.date.available2017-03-09T09:30:56Z
dc.date.issued2017-10-31
dc.identifier.citationDing, Z., Dong, Y., Liang, H. and Chiclana, F. (2017) Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model. Journal of Artificial Societies and Social Simulation, 20 (4), 6en
dc.identifier.urihttp://hdl.handle.net/2086/13486
dc.descriptionOpen Access journalen
dc.description.abstractNowadays, in the world, about half of the population can receive information and exchange their opinions with others in online environments (e.g. the Internet), while the other half obtain information and exchange their opinions in offline environments (e.g. face to face) (see eMarketer Report, 2016). The speed at which information is received and opinions are exchanged in online environments is much faster than in offline environments. To model this phenomenon, in this paper we consider online and offline as two subsystems in opinion dynamics, and there is asynchronization when the agents in these two subsystems update their opinions. We show that asynchronization strongly impacts the steady-state time of the opinion dynamics, the opinion clusters and the interactions between the online subsystem and offline subsystem. Furthermore, these effects are often enhanced the larger the size of the online subsystem.en
dc.language.isoenen
dc.publisherEuropean Social Simulation Association, ESSAen
dc.subjectOpinion dynamicsen
dc.subjectAsynchronismen
dc.subjectBounded confidenceen
dc.subjectAgent-based simulationen
dc.titleAsynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Modelen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.18564/jasss.3375
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NC-NDen
dc.date.acceptance2017-02-03en
dc.exception.reasonOpen Access journal. This is published in a journal that makes the papers available via the World Wide Web with free access at the address: http://jasss.soc.surrey.ac.uk/JASSS.html.en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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