计算机科学
统计物理学
均质化(气候)
物理
生态学
生物
生物多样性
作者
Fuzhong Nian,Xifei Fu,Zheming Wang
出处
期刊:International Journal of Modern Physics C
[World Scientific]
日期:2024-09-27
标识
DOI:10.1142/s0129183124502498
摘要
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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