A Novel Social Network Group Decision-Making Method in a Quantum Framework

Abstract Social networks (SNs) have become popular as a medium for disseminating information and connecting like-minded people. They play central role in decision-making by correlating the behaviors preferences of connected agents. However, it is difficult to identify social influence effects decision-making. In this article, we propose framework how describe uncertain nature network group (SN-GDM) process. analysis (SNA) quantum probability theory (QPT) are combined construct decision considering superposition interference SN-GDM scenarios. For first time, divide into symmetry asymmetry. We an diagram, which quantum-like Bayesian (QLBN), model decisions with interactions. terms from Shapley value asymmetry trust value, respectively. The alternative calculated through our diagram. combination QLBN could gain understanding evolve within scenarios, provide new insights SNA. Finally, overall comparative performed traditional SNA other models.