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Research on information spreading of SISIOIN model in social networks

Fuzhong Nian, Jingru Niu (), Zhugao Feng () and Yi Jia ()
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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

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 09, 1-17

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.

Keywords: Social networks; propensity index; spreading dynamics; polymorphic spreaders; SI model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S012918312450116X

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