An Evaluation Model for Public Opinion Formation Based on Entropy

被引：0
|
作者：
Jia Fan [1 ,2 ]
Xie Di [3 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] Beijing Municipal Commiss Educ, Key Lab Commun & Informat Syst, Beijing 100044, Peoples R China
[3] NCI, Huabei Comp Technol Res Inst, Beijing 100083, Peoples R China
来源：
INTERNATIONAL CONFERENCE OF CHINA COMMUNICATION (ICCC2010) | 2010年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
public opinion evolution; entropy; dynamics; opinions distribution; DYNAMICS; SOCIETY;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The opinions of individuals change from chaos to order during the formation of public opinion, which is an evolution process of complex system. Many dynamic models have been proposed to explain successfully the mechanism of opinion evolution. Usually, the number of opinion clusters is used to describe the final distribution of individual opinion. However, there is a lack of an unified criterion for evaluation of opinion distribution among individuals. In this paper, the notion of opinion entropy is introduced to quantitative describe the diversity of distribution of opinion. The value of entropy at different situations such as consensus, bifurcation and fragment in the public opinion formation was investigated. From the results, we found that opinion evolution is a process of entropy decreasing, and the opinion entropy is a useful tool in the study of opinion dynamics.
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页码：339 / +
页数：2
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