Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model

Bibliographic Data

ID7534864
AuthorsZhaogang Ding (0000-0002-0736-6545, Northwest University, corresponding author), Yucheng Dong (0000-0002-0028-6796, Sichuan University), Haiming Liang (0000-0002-5408-8533, Xidian University), Francisco Chiclana (0000-0002-3952-4210, De Montfort University)
Year2017
Volume20
Issue4
Publication date2017-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Artificial Societies and Social Simulation (JOURNAL)
Journal identifiersISSN: 1460-7425 • E-ISSN: 1460-7425
PublisherJournal of Artificial Societies and Social Simulation (PUBLISHER)
DOI10.18564/jasss.3375
OpenAlexW2605900936
LanguageEN
Citations received1
References cited15

Nowadays, about half of the world population can receive information and exchange opinions in online environments (e.g. the Internet), while the other half do so o line (e.g. face to face). The speed at which information is received and opinions are exchanged in online environment is much faster than o line. To model this phenomenon, in this paper we consider online and o line as two subsystems in opinion dynamics and assume asynchronization when agents in these two subsystems update their opinions. We unfold that asynchronization has a strong impact on the steady-state time of the opinion dynamics, the opinion clusters and the interactions between online and o line subsystems. Furthermore, these e ects are o en enhanced the larger the size of the online subsystem is

Asynchronous communication · Bounded function · Dynamics (music · Face (sociological concept · Information cascade · Online and offline · Phenomenon · Physics · Population · Statistics · Telecommunications · The Internet · World Wide Web · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Quantum many-body systems

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