Trust chain driven bidirectional feedback mechanism in social network group decision making and its application in Metaverse virtual community

Abstract

This paper investigates how to conduct bidirectional feedback mechanism by establishing trust chains in social network group decision making (SN-GDM), which is more applicable than the ordinary bidirectional feedback process, and further explores its application in the Metaverse virtual community. Firstly, a trust chain between decision makers (DMs) is constructed from the trust network, which can connect two individuals who do not have trust relationship and therefore assist the opinion interaction and consensus building. Then, this paper designs an opinion transmission model based on trust chain to realize the information transmission and bidirectional feedback process of DMs, and the characteristics of the proposed model are revealed through simulation analysis. Finally, the proposed trust chain driven bidirectional feedback mechanism is applied to an illustrative example of Metaverse virtual community decision-making problem to demonstrate the effectiveness and applicability of the model, and comparisons with other methods shows the advantage of our proposed approach.