小世界效应的网络舆情演化迁移元胞模型  

Internet Public Opinion Evolution Migrant Cellular Model Based on Small World Effect

作　　者：王根生[1,2] 勒中坚[2,3,4] 

机构地区：[1]江西财经大学国际经贸学院,南昌330013 [2]江西省电子商务工程技术研究中心,南昌330013 [3]江西财经大学信息管理学院,南昌330013 [4]华中科技大学管理学院,武汉430074

出　　处：《小型微型计算机系统》2011年第12期2523-2528,共6页Journal of Chinese Computer Systems

基　　金：国家社科基金项目(09BTQ034)资助

摘　　要：依据网民关系网络拓扑的小世界效应特性,提出网民观点的倾向度转换规则,在网络舆情网民关系小世界网络矩阵表示的基础上,构建基于小世界效应的网络舆情演化迁移元胞模型,运用该模型分析网络舆情演化,产生了倾向度转换图、粗细粒度倾向度曲线的仿真结果.通过对试验仿真结果的分析,揭示了网络舆情演化的观点极分化和观点漂移的现象,分析了"核心"区域漂移现象和倾向度曲线多波峰现象的成因,仿真结果表明该模型能较好拟合网络舆情演化的规律.本研究对网络监察部门和新闻管理部门的管理提供了一定的理论依据.According to the small world effect in netizens relationship network topology,puts forward the opinion tendency conversion rules.Based on the small-world networks matrix of the netizens relationship in the network public opinion,constructs internet public opinion evolution migrant cellular model based on small world effect,uses this model analyzing network public opinion evolution and produces the simulation results,which include tendency conversion figure,curve of course tendency and curve of fine tendency.Through the emulation result analysis,reveals the opinion polarization phenomenon and ＂core＂ regional drift phenomenon in network public opinion evolution,analyze the causes of the ＂core＂ regional drift phenomenon and tendency multi-wave curve.Emulation results show that the model can better fit with the network public opinion evolution laws.This research provides certain theoretical basis for the management in network supervisory departments and news management department.

关 键 词：小世界效应 迁移元胞 舆情演化 观点极化 观点漂移 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]