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Research on information spreading of SISIOIN model in social networks

Author

Listed:
  • Fuzhong Nian

    (School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu 730050, P. R. China)

  • Jingru Niu

    (School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu 730050, P. R. China)

  • Zhugao Feng

    (School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu 730050, P. R. China)

  • Yi Jia

    (School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu 730050, P. R. China)

Abstract

This paper focuses on the internal law of online public opinion spreading under the conditions of different types of spreaders by constructing the model of public opinion spreading by subtypes of spreaders. The new SISIOIN model is constructed by abstracting factors such as netizens’ interests, emotions and views on hot events in the Internet into propensity indices. The simulation results show that the spread of public opinion after categorizing netizens is more in line with the spread of public opinion in reality. Moreover, netizens tend to show different spreading behaviors in different public opinion cases, and the degree of change in netizens’ propensity varies greatly. All the data used in the simulation experiments are real data and analyzed with real events. The research results are helpful for what kind of control strategies are adopted after the occurrence of hotspot events.

Suggested Citation

  • Fuzhong Nian & Jingru Niu & Zhugao Feng & Yi Jia, 2024. "Research on information spreading of SISIOIN model in social networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 35(09), pages 1-17, September.
    • Handle: RePEc:wsi:ijmpcx:v:35:y:2024:i:09:n:s012918312450116x
    DOI: 10.1142/S012918312450116X
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