About: Asymmetrically interacting spreading dynamics on complex layered networks

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Asymmetrically interacting spreading dynamics on complex layered networks
Creator	Wang, Wei Yang, Hui Tang, Ming Lai, Ying-Cheng Do, Younghae »more»
source	ArXiv
abstract	The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes. We investigate the asymmetrical interplay between the two types of spreading dynamics, each occurring on its own layer, by focusing on the two fundamental quantities underlying any spreading process: epidemic threshold and the final infection ratio. We find that an epidemic outbreak on the contact layer can induce an outbreak on the communication layer, and information spreading can effectively raise the epidemic threshold. When structural correlation exists between the two layers, the information threshold remains unchanged but the epidemic threshold can be enhanced, making the contact layer more resilient to epidemic outbreak. We develop a physical theory to understand the intricate interplay between the two types of spreading dynamics.
has issue date	2014-05-08(xsd:dateTime)
has license	arxiv
sha1sum (hex)	a4de3a6fc3e5ef424dd225e58b16b3c8049d2db5
resource representing a document's title	Asymmetrically interacting spreading dynamics on complex layered networks
resource representing a document's body	covid:a4de3a6fc3e5ef424dd225e58b16b3c8049d2db5#body_text
is schema:about of	named entity 'fundamental quantities' named entity 'layer' named entity 'threshold' named entity 'epidemic' named entity 'interacting' »more»

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