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In this paper, the Crowd Intelligence Network Model is applied to the simulation of epidemic spread. This model combines the multi-layer coupling network model and the two-stage feedback member model to study the epidemic spread mechanisms under multiple-scene intervention. First, this paper establishes a multi-layer coupled network structure based on the characteristic of Social Network, Information Network, and Monitor Network, namely, the Crowd Intelligence Network structure. Then, based on this structure, the digital-self model, which has a multiple-scene effect and two-stage feedback structure, is designed. It has an emotional state and infection state quantified by using attitude and self-protection levels. This paper uses the attitude level and self-protection level to quantify individual emotions and immune levels, and discusses the impact of individual emotions on epidemic prevention and control. Finally, the availability of the Crowd Intelligence Network Model on the epidemic spread is verified by comparing the simulation trend with the actual spread trend of COVID-19.


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COVID-19 Spread Simulation in a Crowd Intelligence Network

Show Author's information Linzhi Shan1Hongbo Sun1( )
School of Computer and Control Engineering, Yantai University, Yantai 264005, China

Abstract

In this paper, the Crowd Intelligence Network Model is applied to the simulation of epidemic spread. This model combines the multi-layer coupling network model and the two-stage feedback member model to study the epidemic spread mechanisms under multiple-scene intervention. First, this paper establishes a multi-layer coupled network structure based on the characteristic of Social Network, Information Network, and Monitor Network, namely, the Crowd Intelligence Network structure. Then, based on this structure, the digital-self model, which has a multiple-scene effect and two-stage feedback structure, is designed. It has an emotional state and infection state quantified by using attitude and self-protection levels. This paper uses the attitude level and self-protection level to quantify individual emotions and immune levels, and discusses the impact of individual emotions on epidemic prevention and control. Finally, the availability of the Crowd Intelligence Network Model on the epidemic spread is verified by comparing the simulation trend with the actual spread trend of COVID-19.

Keywords:

COVID-19, epidemic spread simulation, multiple scenes, multi-layer coupled network
Received: 29 December 2021 Revised: 24 January 2022 Accepted: 25 January 2022 Published: 09 August 2022 Issue date: September 2022
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Publication history

Received: 29 December 2021
Revised: 24 January 2022
Accepted: 25 January 2022
Published: 09 August 2022
Issue date: September 2022

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© The author(s) 2022

Acknowledgements

Acknowledgment

This work was partially supported by the National Key R&D Program of China (No. 2017YFB1400105).

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