Constraining of homogenized information on online spreading

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.

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Publication Details

Journal
International Journal of Modern Physics C
Published
2024-09-27
DOI
https://doi.org/10.1142/s0129183124502498
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Constraining of homogenized information on online spreading

Fuzhong Nian, Zheming Wang, Xifei Fu
International Journal of Modern Physics C
Optimization and Search Problems
article

Constraining of homogenized information on online spreading

Fuzhong Nian, Zheming Wang, Xifei Fu
article en

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.

International Journal of Modern Physics CVol. 36(07)
Lanzhou University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Optimization and Search Problems
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Constraining of homogenized information on online spreading — Fuzhong Nian, Zheming Wang, et al. · International Journal of Modern Physics C (2024) | TGRS Research Map | TGRS