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dc.contributor.authorZhan, Min
dc.contributor.authorChiclana Parrilla, Francisco 
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2022-01-24T09:49:38Z
dc.date.available2022-01-24T09:49:38Z
dc.date.issued2020-11-24
dc.identifier.citationPublished version: M. Zhan... [et al.], "Bounded Confidence Evolution of Opinions and Actions in Social Networks," in IEEE Transactions on Cybernetics, doi: [10.1109/TCYB.2020.3043635]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/72451
dc.descriptionThis work was supported in part by the National Natural Science Foundation of China under Grant 71991460, Grant 71991465, Grant 71871149, Grant 71910107002, and Grant 71725001; in part by the Research Foundation of Education Bureau of Hunan Province, China, under Grant 20B147; and in part by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033.es_ES
dc.description.abstractInspired by the continuous opinion and discrete action (CODA) model, bounded confidence and social networks, the bounded confidence evolution of opinions and actions in social networks is investigated and a social network opinions and actions evolutions (SNOAEs) model is proposed. In the SNOAE model, it is assumed that each agent has a CODA for a certain issue. Agents’ opinions are private and invisible, that is, an individual agent only knows its own opinion and cannot obtain other agents’ opinions unless there is a social network connection edge that allows their communication; agents’ actions are public and visible to all agents and impact other agents’ actions. Opinions and actions evolve in a directed social network. In the limitation of the bounded confidence, other agents’ actions or agents’ opinions noticed or obtained by network communication, respectively, are used by agents to update their opinions. Based on the SNOAE model, the evolution of the opinions and actions with bounded confidence is investigated in social networks both theoretically and experimentally with a detailed simulation analysis. Theoretical research results show that discrete actions can attract agents who trust the discrete action, and make agents to express extreme opinions. Simulation experiments results show that social network connection probability, bounded confidence, and the opinion threshold of action choice parameters have strong impacts on the evolution of opinions and actions. However, the number of agents in the social network has no obvious influence on the evolution of opinions and actions.es_ES
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC) 71991460 71991465 71871149 71910107002 71725001es_ES
dc.description.sponsorshipResearch Foundation of Education Bureau of Hunan Province, China 20B147es_ES
dc.description.sponsorshipSpanish Government PID2019-103880RB-I00/AEI/10.13039/501100011033es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectActiones_ES
dc.subjectBounded confidencees_ES
dc.subjectEvolution es_ES
dc.subjectOpiniones_ES
dc.subjectSocial networkes_ES
dc.titleBounded Confidence Evolution of Opinions and Actions in Social Networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1109/TCYB.2020.3043635
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


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