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논문검색

Causal Analysis of Internet Public Opinion Dissemination System Based on the System Dynamics

초록

영어

Internet public opinion reflects the trend of public opinion in all sectors of society directly. It can affect the harmony and stability of society. Therefore reducing the incidence of adverse events and improving the ability to deal with Internet public opinion have become an important issue that the government needs to solve. Based on the existing literature,the paper firstly analyzes the propagation rule of Internet public opinion and its features. Then it uses the system dynamics to have an analysis of the influencing factors of ecological dissemination system about internet public opinion. What’s more, it takes a qualitative analysis to analyze the relationship between the factors through the causal analysis diagrams and it establishes the stock flow diagram of the factors. Lastly, it has a simulation analysis for the model in order to present the suggestions to control the dissemination of Internet public opinion positively..

목차

Abstract
 1. Introduction
 2. Characteristics of the ecological propagation about Internet public opinion
  2.1. Freedom
  2.2. Controllability
  2.3. Instantaneity
  2.4. Far-reaching influence
 3. Analysis of the driving force about the Internet public opinion dissemination system
  3.1. The force of the event
  3.2. The force of netizen
  3.3. The force of traditional media
  3.4. The force of the relevant government departments
 4. Model
  4.1. The diagram of causal analysis
  4.2. Stock flow diagram
 5. Simulation analysis
  5.1. The function of the Variables
  5.2. The table functions
  5.3. Simulation results and analysis
 6. Conclusion
  6.1. Enhance the management level of the government organization system about the Internet public opinion
  6.2. Strengthen the cooperation between the government and the media
  6.3. Pay attention to the "opinion leaders"
 Acknowledgements
 Reference

저자정보

  • Feng Cao Beijing Jiaotong University,Beijing 100044, China
  • Zhenji Zhang Beijing Jiaotong University,Beijing 100044, China
  • Erdan Qi Beijing Jiaotong University,Beijing 100044, China
  • Xiaolan Guan Beijing Institute of Graphic Communication, Beijing 102600, China

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