无标度特性下的网络舆情演化迁移元胞模型  

Tow-stages Model for the Evolution of Network Public Opinion on Scale-free Characteristics

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：《小型微型计算机系统》2013年第5期1085-1090,共6页Journal of Chinese Computer Systems

基　　金：国家社科基金项目(09BTQ034)资助

摘　　要：通过实证分析网络舆情演化的无标度特性,将网络舆情演化分成两个阶段:观点形成阶段和观点交互阶段.构建BA'模型,提出无标度特性下的观点形成算法;结合作者前期研究成果迁移元胞自动机网络舆情演化模型,提出了无标度特性下的观点交互算法;观点形成算法和观点交互算法组成了无标度特性下的网络舆情演化二阶段模型.对网络舆情演化的二阶段模型进行仿真,模拟现实网络舆情演化的观点形成和观点交互过程,绘制出倾向度状态转换图和粗细粒度倾向度曲线;经过仿真分析,揭示了网民观点倾向度和网民素养对网络舆情演化的影响规律.Through an empirical analysis for scale-free characteristics of the evolution of network public opinion, the evolution of net- work public opinion is divided into two stages： a view form stage and a view interactive stage. BA ＇model is constructed, and the view form algorithm is put forward on scale-free characteristics. With the previous study results, which is a model for the evolution of public opinion in the web based on migration cellular automata, and the view interactive algorithm is put forward on scale-free charac- teristics. View form algorithm and view interactive algorithm are composed of a tow-stages model for the evolution of public opinion on scale free characteristics. By the simulation of the view form and view interactive process of the tow-stages model for the evolution of public opinion, they are drawn which are the orientation-state transition diagram, the curve of orientation course grained and the curve of orientation fine grained. Through the simulation analysis, a law is revealed which is the law of the influence of netizens view-orientation and netizens literacy on the evolution of network public opinion.

关 键 词：无标度特性 二阶段模型 观点倾向度 网民素养 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]