复杂开放网络中的多主体意见演化模型及其仿真

Model and Simulation of Multi-agent Opinions Dynamics in an Open Complex Network

意见领袖演化模型的构建是揭示群体共识形成规律的一项有效途径。本研究按照ABM模型(Agentbased M odeling)的建模范式,分析了具有成员流动性的复杂开放网络中的多主体意见演化状况。仿真实验的结果表明,信任阈值虽然与最终呈现的意见簇数量存在负相关关系,但关系强度明显低于传统Weisbuch-Deffuant模型;在没有特殊干预的情况下,个体意见初始分布的偏向性会伴随意见演化过程始终;初始活动群体的连通性越强,其中各主体意见越容易在意见交互中实现快速收敛。

Opinion dynamics modeling is an effective way to reveal the formation rules of the group consensus. In accordance with the paradigm of agent-based model, multi-agent opinions dynamics in an open complex network was analyzed in this paper. The simulation experimental results show that there is a negative correlation between the bounded confidence and the final number of opinion clusters. However its degree is lower than that in Weisbuch-Deffuant model, especially the initial bias of opinions would accompany with the opin- ion dynamics without specific interventions. The connectivity of initial active communities is closely related to both the convergent rate and extent of group opinions.