A Novel Model for the Evolution of Online Public Opinion Based on Fuzzy Cellular Automata Rules in Directed World Networks

Authors

Tao Chen, School of Economics and Management, Tongji University, Shanghai, China \\ Department of Information Management, School of Business, Ningbo University, Zhejiang, China
Jie Lin

Author Country (or Countries)

China

Abstract

In this paper, a model of Cellular Automata model (CA), which contains four essential characters composed of Emotional tendencies of current netizen, self-confidence, the impact and sentiment orientation from other netizens, was designed for the evolution of online public opinion. To establish the relationship between the state of current netizen and the impact rate from other netizens. This study has adopted the rule-based fuzzy system.With the support of some experts from the Psychology area, 70 fuzzy rules with different weight have been formulated. Through the analysis of the simulation results, the opinion concentration, polarization, are revealed. The results of simulation also show that all four essential characters have a certain influence on individual behavior as well as group’s, and the changing character of neighbors will influence individual behavior. Simulation results also indicate that the model can better fit with the public opinion evolution laws.

Suggested Reviewers

N/A

Recommended Citation

Chen, Tao and Lin, Jie (2013) "A Novel Model for the Evolution of Online Public Opinion Based on Fuzzy Cellular Automata Rules in Directed World Networks," Applied Mathematics & Information Sciences: Vol. 07: Iss. 6, Article 25.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss6/25