#5753. Consensus reaching with trust evolution in social network group decision making

July 2026publication date
Proposal available till 11-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Engineering (all);
Computer Science Applications;
Artificial Intelligence;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The trust degrees among individuals play an important role in social network group decision making (SNGDM). They are assumed to be unchanged with the time in most of extant SNGDM studies. However, in some SNGDM scenarios, the trust degrees of individuals will evolve with the time due to the changes of the opinion similarities among individuals. In this paper, we discuss the consensus reaching issue in SNGDM with trust evolution. Specifically, we first formulate a consensus reaching problem with trust evolution, and then propose its resolution framework. In this framework, we establish the trust evolution model, in which the trust degrees among individuals at the next time are determined by the individuals’ historical trust degrees and the opinion similarities at this time. Based on this, we design a novel consensus reaching process, called CRP-OD-TE, which first includes the opinion dynamics-based endogenous feedback mechanism, and the trust evolution-based exogenous feedback mechanism. Furthermore, two applications are provided to illustrate the proposed CRP-OD-TE. Finally, we complete some simulations and comparative analysis.
Keywords:
Consensus reaching; Opinion dynamics; Social network group decision making; Trust evolution

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