Constraining of homogenized information on online spreading

Fuzhong Nian, Xifei Fu and Zheming Wang
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Fuzhong Nian: School of Computer and Communication, Lanzhou University of Technology, No. 36 Pengjiaping Road, Qilihe District, Lanzhou City, Gansu Province, Lanzhou 730050, P. R. China
Xifei Fu: School of Computer and Communication, Lanzhou University of Technology, No. 36 Pengjiaping Road, Qilihe District, Lanzhou City, Gansu Province, Lanzhou 730050, P. R. China
Zheming Wang: School of Computer and Communication, Lanzhou University of Technology, No. 36 Pengjiaping Road, Qilihe District, Lanzhou City, Gansu Province, Lanzhou 730050, P. R. China

International Journal of Modern Physics C (IJMPC), 2025, vol. 36, issue 07, 1-21

Abstract: The spread of homogenized information on social networks can create certain positive promotional effects. However, if it is excessively spread, it may lead to constraining effects and even cause negative impacts. In this paper, a spreading model called C-SIRI is proposed, which conducts an in-depth study on the constraining mechanism in the process of information spreading, as well as the rules and characteristics affecting its impact. Taking the COVID-19 epidemic information spreading on Sina Weibo social network from March 2020 to May 2022 as an example, the reliability of this model is verified. The results show that content homogeneity, participation degree and false proportion have a significant influence on the constraining mechanism of social network information spreading, and the threshold of information spreading constraining is closely related to the spreading times. This research helps to understand the role of constraining mechanism in information spreading and promote the application of social networks in information spreading prediction and control.

Keywords: Social network; information spreading; spreading dynamics; constraining mechanism; C-SIRI (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0129183124502498

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