External intervention model with direct and indirect propagation behaviors on social media platforms

Fulian Yin; Xinyi Tang; Tongyu Liang; Yanjing Huang; Jianhong Wu; Fulian Yin; Xinyi Tang; Tongyu Liang; Yanjing Huang; Jianhong Wu

doi:10.3934/mbe.2022530

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 11: 11380-11398. doi: 10.3934/mbe.2022530

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Research article

External intervention model with direct and indirect propagation behaviors on social media platforms

1.
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China
2.
College of Information and Communication Engineering, Communication University of China, Beijing 100024, China
3.
Fields-CQAM Laboratory of Mathematics for Public Health, Laboratory for Industrial and Applied Mathematics, York University, Toronto M3J1P3, Canada

Academic Editor: Zi-Gang Huang

Received: 10 May 2022 Revised: 21 July 2022 Accepted: 26 July 2022 Published: 09 August 2022

A significant distinction between the COVID-19 pandemic and previous pandemics is the significant role of social media platforms in shaping public adherence to non-pharmaceutical interventions and vaccine acceptance. However, with the recurrence of the epidemic, the conflict between epidemic prevention and production recovery has become increasingly prominent on social media. To help design effective communication strategies to guide public opinion, we propose a susceptible-forwarding-immune pseudo-environment (SFI-PE) dynamic model for understanding the environment with direct and indirect propagation behaviors. Then, we introduce a system with external interventions for direct and indirect propagation behaviors, termed the macro-controlled SFI-PE (M-SFI-PE) model. Based on the numerical analyses that were performed using actual data from the Chinese Sina microblogging platform, the data fitting results prove our models' effectiveness. The research grasps the law of the new information propagation paradigm, and our work bridges the gap between reality and theory in information interventions.
- dynamic model,
- information propagation,
- direct and indirect modes,
- external intervention
Citation: Fulian Yin, Xinyi Tang, Tongyu Liang, Yanjing Huang, Jianhong Wu. External intervention model with direct and indirect propagation behaviors on social media platforms[J]. Mathematical Biosciences and Engineering, 2022, 19(11): 11380-11398. doi: 10.3934/mbe.2022530

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Abstract

A significant distinction between the COVID-19 pandemic and previous pandemics is the significant role of social media platforms in shaping public adherence to non-pharmaceutical interventions and vaccine acceptance. However, with the recurrence of the epidemic, the conflict between epidemic prevention and production recovery has become increasingly prominent on social media. To help design effective communication strategies to guide public opinion, we propose a susceptible-forwarding-immune pseudo-environment (SFI-PE) dynamic model for understanding the environment with direct and indirect propagation behaviors. Then, we introduce a system with external interventions for direct and indirect propagation behaviors, termed the macro-controlled SFI-PE (M-SFI-PE) model. Based on the numerical analyses that were performed using actual data from the Chinese Sina microblogging platform, the data fitting results prove our models' effectiveness. The research grasps the law of the new information propagation paradigm, and our work bridges the gap between reality and theory in information interventions.

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