网络舆情群体极化动力模型与仿真分析  

Dynamic Model and Simulation Analysis of Group Polarization of Online Public Opinion

作　　者：王根生[1] 

机构地区：[1]江西财经大学国际经贸学院,南昌330013

出　　处：《情报杂志》2012年第3期20-24,共5页Journal of Intelligence

基　　金：国家社会科学基金项目"面向网络舆情危机预警的观点柔性挖掘方法研究"(编号:09BTQ034)

摘　　要：分析了网络舆情群体极化现象,提出网络舆情群体极化包括4种现象:单极聚化、两极裂化、多极碎化和零极淡化。研究网络舆情群体极化的影响因素,揭示群体极化影响因素之间的动力关系,构建网络舆情群体极化动力模型。通过对模型仿真的结果分析,验证模型的有效性,为政府和企业监管网络舆情提供了决策思路和方法指导。Based on the analysis of group polarization of online public opinion, we conclude in this paper that the group polarization of online public opinion includes four phenomena： uni-polarization, bi-polarization, multi＇polarization and non- polarization. By studying the determinants of group polarization of online public opinion and the dynamic relationship between them, we build a dynamic model of group polarization of online public opinion. Furthermore, we test the effectiveness of the model by analyzing the simulation results, aiming to provide some guidance for both the government and the enterprises in monitoring online public opinion

关 键 词：网络舆情 群体极化 影响因素 动力关系 

分 类 号：G350[文化科学—情报学] TP391[自动化与计算机技术—计算机应用技术]