Dynamic Social Influence Analysis and Opinion Evolution Law Under Certain Influence Network Structures

This article studies the propagation of social influence and the evolution of opinions for a group of decision makers (DMs) who communicate and collaborate to make decisions. Given the DMs' decision matrices and their social network, a social influence propagation model, which combines the rule...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2024-06, Vol.32 (6), p.3629-3642
Main Authors: Li, Shengli, Sang, Yuzheng, Wei, Cuiping, Yan, Xihong
Format: Article
Language:English
Subjects:
Computational modeling
Consensus reaching process
Decision making
Dynamic models
Evolution
fuzzy preference relation (FPR)
Fuzzy systems
group decision making (GDM)
Internet
Mathematical models
Nodes
opinion evolution
Psychology
Social networking (online)
Social networks
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Summary:This article studies the propagation of social influence and the evolution of opinions for a group of decision makers (DMs) who communicate and collaborate to make decisions. Given the DMs' decision matrices and their social network, a social influence propagation model, which combines the rule of PageRank and the primacy effect phenomenon in psychology to show the evolution of individual's social influence, is proposed. Afterward, an opinion evolution model considering the dynamic social influence evolution is proposed to model the opinion formation process. Furthermore, we establish the convergence properties of this nonlinear dynamical model for the settings of irreducible and reducible social influence network, where the reducible one is discussed in two scenarios, respectively, the reducible influence network with globally reachable nodes and without globally reachable nodes. With this proposal it is feasible to predict the evolution of individuals' decision information along the discussion process.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2024.3376969