The maximum effort consensus model considering the emotions of decision-makers in the social network environment

Abstract

In language social network group decision-making, social network analysis often helps determine the importance weights of decision-makers. In fact, decision-maker emotions can have an impact on the spread of trust among decision-makers. For example, positive emotions can enhance trust, while negative emotions can suppress it. Therefore, this paper constructs a social network trust propagation mechanism that takes into account the emotions of decision-makers. Secondly, in the process of reaching consensus, managers often need to modify their opinions, and the probability of decision-makers' adjustment based on emotion is defined simultaneously. Also, the willingness and attitude of decision-makers to modify for a better consensus, that is, the degree of effort, can lead to different consensus outcomes. In the case of limited cost budgets, we propose a maximum effort consensus model driven by the maximization of decision-makers' efforts to advise individuals. Finally, the model approach proposed in this paper was applied to the case of brand selection of green wall insulation materials and compared with the consensus results guided by the identity-optimization rule method to verify the rationality and superiority of the method proposed in this paper.