计算机应用 ›› 2011, Vol. 31 ›› Issue (12): 3411-3413.

• 典型应用 • 上一篇    下一篇

G(Galam)模型在网络舆情演化中的应用

陈福集,李林斌   

  1. 福州大学 公共管理学院, 福州 350108
  • 收稿日期:2011-06-21 修回日期:2011-08-02 发布日期:2011-12-12 出版日期:2011-12-01
  • 通讯作者: 李林斌
  • 基金资助:
    国家杰出青年科学基金;教育部人文社会科学研究项目;福建省科技厅软科学项目

Application of G(Galam) model in network public opinion evolution

CHEN Fu-ji,LI Lin-bin   

  1. College of Public Administration, Fuzhou University, Fuzhou Fujian 350108,China
  • Received:2011-06-21 Revised:2011-08-02 Online:2011-12-12 Published:2011-12-01
  • Contact: LI Lin-bin

摘要: 网络舆情的互动性、多元性、衍生性等特点,使得对网络舆情演化的分析相当复杂。首先,剖析网络舆情的来源、内容、传播和影响的特征,进而引入G (Galam)模型,并将其运用于网络舆情演化过程的研究中。通过实验分析,得出网络舆情的演化最终极化方向存在一定的规律性和可控性。通过干预公众个体间的交流和影响公众的公共偏好,可以引导网络舆情的最终演化方向。

关键词: G(Galam)模型, 网络舆情, 舆情演化

Abstract: The evolution analysis of network public opinion becomes rather complex because of its interaction, diversity and derivability. At first, this paper analyzed the features of the source, content, dissemination and influence of network public opinion,and introduced G (Galam) model which was applied to the study of the evolution of network public opinion. Through experimental analysis, it is concluded that the final polarization direction of the evolution of network public opinion has certain regularity and controllability. Through the intervention in public communication between individuals and the influence on public in public preferences, the direction of the ultimate evolution of network public opinion can be guided.

Key words: G(Galam) model, network public opinion, public opinion evolution