基于改进Deffaunt模型和小世界网络的舆情传播模拟与仿真  

Modeling and Simulation of Public Opinion Dissemination Based on Modified Deffaunt Model and Small-world Network

作　　者：刘锦德[1] 刘咏梅[1] 

机构地区：[1]中南大学商学院,湖南长沙410012

出　　处：《系统工程》2015年第3期123-129,共7页Systems Engineering

基　　金：国家自然科学基金委创新研究群体项目(71221061);教育部博士点基金资助项目(20110162110065);湖南省哲学社会科学基金资助项目(12YBB271)

摘　　要：以改进的Deffaunt模型作为观点交互模型,用小世界网络结构模拟真实世界的人际关系网络,对舆情的传播进行模拟仿真并分析不同参数设置对仿真结果的影响,通过研究发现人际间的信任程度影响观点收敛速度,群体中极端个体的比例大小能决定群体观点的收敛情况,而且小世界网络模型中的群体规模、节点度、重连概率都能影响观点的收敛速度。本文对分析舆情的传播和形成有一定实际意义。This paper uses a modified deffaunt model as views exchanging model and apply small-world network to simulate personal relationships network in the real world.It simulates the spread of public opinion and analyzes the influence of different parameters setting on the simulation.The result shows that the trust degree of personal relationship can influence the convergence rate of view.The proportion of extreme viewers can results in convergence of group views.Furthermore,convergence rate of view is influenced by the population scale,node degree,rewiring probability of the small-world network model.This research offers insight into practical application on how to analyze the spread and formation of public opinion.

关 键 词：Deffaunt模型 小世界网络 舆情传播 人际关系网络 

分 类 号：N945.13[自然科学总论—系统科学]