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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading
Creator	Huang, He Chen, Yahong Ma, Yefeng
source	Elsevier; Medline; PMC
abstract	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.
has issue date	2021-01-01(xsd:dateTime)
bibo:doi	10.1016/j.amc.2020.125536
bibo:pmid	32834190
has license	no-cc
sha1sum (hex)	7dae3b9e6d45cf9bb37bb19bedfa7a5566f684a3
schema:url	https://doi.org/10.1016/j.amc.2020.125536
resource representing a document's title	Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading
has PubMed Central identifier	PMC7382352
has PubMed identifier	32834190
schema:publication	Appl Math Comput
resource representing a document's body	covid:7dae3b9e6d45cf9bb37bb19bedfa7a5566f684a3#body_text
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