Abstract

Network crisis information diffusion will have a certain impact on the public’s psychology and behavior and will cause harm to the normal operation social of the public system and the effective allocation of the public resources. So we should timely control the key factors which affect the diffusion process to reduce the damage. Using cellular automata theory, the paper views the public as a series of cellular automata and sets up some cellular state evolution rules. With the help of MATLAB simulated evolution, this paper explores the diffusion rule of crisis information diffusion process and finds out the key factors of crisis information diffusion process and its influence on the diffusion scale and effect, so as to put forward coping strategies. It is hoped that this paper provides reference for the theoretical study of the crisis information diffusion and provides suggestion for the real world to control the crisis information diffusion.

Highlights

  • Since the 21st century, natural disasters, the financial crisis, public health, social security, and other kinds of crisis events are staged all over the world

  • It is hoped that this paper improves the crisis information diffusion theory research and provides the corresponding countermeasures and measures of the crisis information diffusion control in the real world in order to reduce the risk of crisis information

  • Information diffusion, knowledge promotion, and supervision of public opinion are the function of the media

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Summary

Introduction

Since the 21st century, natural disasters, the financial crisis, public health, social security, and other kinds of crisis events are staged all over the world. The spread and diffusion of crisis information from above crisis events have certain effect on public’s psychology and behavior. Crisis information diffusion will lead to interruption or paralysis of certain social activities and even affect human security and social stability. Based on cellular automata theory (cellular automata, hereinafter referred to as CA), this paper makes use of the BASS model in the field of new product or innovation diffusion to the process of crisis information diffusion and constructs the network crisis information diffusion system. It is hoped that this paper improves the crisis information diffusion theory research and provides the corresponding countermeasures and measures of the crisis information diffusion control in the real world in order to reduce the risk of crisis information

Network Crisis Information Diffusion System
Evolution Model Building
Network Crisis Information Diffusion Model Building
The Simulation and the Analysis of the Results
Countermeasures
Conclusion
Full Text
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