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Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading.

Authors :
Huang, He
Chen, Yahong
Ma, Yefeng
Source :
Applied Mathematics & Computation. Jan2021, Vol. 388, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• The impacts of knowledge diffusion on rumor and epidemic are studied in a two-layer network. • The competitive diffusions of rumor and knowledge are modeled on the communication layer. • The outbreak threshold of rumor increases linearly with the penetration intensity of knowledge. • The outbreak threshold of epidemic increases concavely with the penetration intensity of knowledge. • Rumor and epidemic can be stopped more efficiently by knowledge when people have more connections in the communication layer. The interaction between epidemic spreading and information diffusion is an interdisciplinary research problem. During an epidemic, people tend to take self-protective measures to reduce the infection risk. However, with the diffusion of rumor, people may be difficult to make an appropriate choice. How to reduce the negative impact of rumor and to control epidemic has become a critical issue in the social network. Elaborate mathematical model is instructive to understand such complex dynamics. In this paper, we develop a two-layer network to model the interaction between the spread of epidemic and the competitive diffusions of information. The results show that knowledge diffusion can eradicate both rumor and epidemic, where the penetration intensity of knowledge into rumor plays a vital role. Specifically, the penetration intensity of knowledge significantly increases the thresholds for rumor and epidemic to break out, even when the self-protective measure is not perfectly effective. But eradicating rumor shouldn't be equated with eradicating epidemic. The epidemic can be eradicated with rumor still diffusing, and the epidemic may keep spreading with rumor being eradicated. Moreover, the communication-layer network structure greatly affects the spread of epidemic in the contact-layer network. When people have more connections in the communication-layer network, the knowledge is more likely to diffuse widely, and the rumor and epidemic can be eradicated more efficiently. When the communication-layer network is sparse, a larger penetration intensity of knowledge into rumor is required to promote the diffusion of knowledge. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00963003
Volume :
388
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
145531884
Full Text :
https://doi.org/10.1016/j.amc.2020.125536