小世界网络下的舆情演化模型及仿真研究

Public Opinion Evolution Model and Simulation in Small-World Network

[目的/意义]构建更符合实际的舆情演化模型,为相关部门合理引导舆情提供借鉴。[方法/过程]以改进的Deffuant模型对个体之间的意见交互规则进行定义,并以小世界网络作为人际关系网络,构建基于复杂网络的舆情演化模型,然后利用Anylogic软件对此模型进行仿真,分析不同因素对舆情演化过程的影响。[结果/结论 ]仿真实验结果显示,个体之间的信任程度、小世界网络中节点的度及参与人数都会对意见收敛速度产生影响,但影响程度有所不同,其中以个体之间信任度的影响最大。

[Purpose/significance]The paper is to construct a more realistic public opinion evolution model to provide reference for the relevant departments to guide public opinion.[Method/process]The paper uses the improved Deffuant model to define the rules of interaction between individuals,and takes the small-world networkas the network of interpersonal relationships to construct complex network-based public opinion evolution model.Then,it uses Anylogic software to simulate the model,and analyzes the effects of various factors on public opinion evolution.[Result/conclusion]The simulation experiment results show that the reliability between individuals,the degree of nodes in small-world network and the number of participants will have impact on the rate of convergence of the opinion,but these factors have different influence degree,in which the reliability between individuals has biggest influence.