Opinion and Action Interactive Evolution Based on Social Network Leadership and Opinion Estimation of Action
Min Zhan, Xiangwei Su, Quanbo Zha, Xuanhua Xu, Xiaohong Chen
Abstract
Opinion and action have important roles in human society, but few studies have considered the interactive evolution of opinion and action. Inspired by the social network DeGroot (SNDG) model and the social network opinions and actions evolution (SNOAE) model, an opinion and action interactive evolution (OAIE) model based on social network leadership and opinion estimation of action is proposed, and the stable state and consensus of agents’ opinions and actions are investigated. The results show that in the interactive evolution of opinion and action, when each agent can accurately estimate the opinions of other agents based on their actions in the final stage, all agents are stable agents. If the opinion leader exists, a consensus and unified action can be formed by all agents; otherwise, all agents can reach a consensus and unified action in the subnetwork. In addition, if each agent is always unable to estimate the true opinions of other agents, then all agents are oscillatory agents.