Study on Propagation Model of Network Public Opinion Based on Fuzzy Cellular Automata

被引：0

作者：

Ding Chunlong ^{[1
]}

Wei Chaofan ^{[2
]}

Gu Tingting ^{[3
]}

Cul Caihao ^{[1
]}

机构：

[1] Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China

[2] Harbin Univ Sci & Technol, Sch Elect & Elect Engn, Harbin 150080, Peoples R China

[3] City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England

来源：

PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年

关键词：

cellular automata; network public opinion; propagation model; fuzzy algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Considering the ambiguity of public opinion in real life, fuzzy algorithm is introduced into the traditional model of CA in this paper. Firstly, by defining two fuzzy variables, social environment fitness and preference degree, the model of fuzzy CA regarding network public opinion is proposed. Then, the evolution of individual view in the forming process of public opinion is simulated and analyzed by fuzzy logic toolbox of MATLAB. The result shows that the number of neutral group will gradually increase, while those who hold extreme attitudes will gradually decrease after extensive communication and discussion. Finally, they will reach a compromise. The model and method is much closer to the real propagation of internet public opinion.

引用

页码：1009 / 1013

页数：5

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