The role of proactive behavior on COVID-19 infordemic in the Chinese Sina-Microblog: a modeling study

Fulian Yin; Hongyu Pang; Lingyao Zhu; Peiqi Liu; Xueying Shao; Qingyu Liu; Jianhong Wu; Fulian Yin; Hongyu Pang; Lingyao Zhu; Peiqi Liu; Xueying Shao; Qingyu Liu; Jianhong Wu

doi:10.3934/mbe.2021365

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 6: 7389-7401. doi: 10.3934/mbe.2021365

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The role of proactive behavior on COVID-19 infordemic in the Chinese Sina-Microblog: a modeling study

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.
The third construction CO.LTD of China construction third engineering bureau Beijing, Beijing 100024, China
4.
Fields-CQAM Laboratory of Mathematics for Public Health, Laboratory for Industrial and Applied Mathematics, York University, Toronto M3J1P3, Canada

Academic Editor: Cameron Nowzari

Received: 30 June 2021 Accepted: 11 August 2021 Published: 30 August 2021

In order to avoid forming an information cocoon, the information propagation of COVID-19 is usually created through the action of "proactive search", an important behavior other than "reactive follow". This behavior has been largely ignored in modeling information dynamics. Here, we propose to fill in this gap by proposing a proactive-reactive susceptible-discussing-immune (PR-SFI) model to describe the patterns of co-propagation on social networks. This model is based on the forwarding quantity and takes into account both proactive search and reactive follow behaviors. The PR-SFI model is parameterized by data fitting using real data of COVID-19 related topics in the Chinese Sina-Microblog, and the model is calibrated and validated using the prediction accuracy of the accumulated forwarding users. Our sensitivity analysis and numerical experiments provide insights about optimal strategies for public health emergency information dissemination.
- Chinese Sina-Microblog,
- active search-reactive follow,
- information propagation model
Citation: Fulian Yin, Hongyu Pang, Lingyao Zhu, Peiqi Liu, Xueying Shao, Qingyu Liu, Jianhong Wu. The role of proactive behavior on COVID-19 infordemic in the Chinese Sina-Microblog: a modeling study[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 7389-7401. doi: 10.3934/mbe.2021365

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Abstract

In order to avoid forming an information cocoon, the information propagation of COVID-19 is usually created through the action of "proactive search", an important behavior other than "reactive follow". This behavior has been largely ignored in modeling information dynamics. Here, we propose to fill in this gap by proposing a proactive-reactive susceptible-discussing-immune (PR-SFI) model to describe the patterns of co-propagation on social networks. This model is based on the forwarding quantity and takes into account both proactive search and reactive follow behaviors. The PR-SFI model is parameterized by data fitting using real data of COVID-19 related topics in the Chinese Sina-Microblog, and the model is calibrated and validated using the prediction accuracy of the accumulated forwarding users. Our sensitivity analysis and numerical experiments provide insights about optimal strategies for public health emergency information dissemination.

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