About: Multi-Competitive Viruses over Static and Time--Varying Networks

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Multi-Competitive Viruses over Static and Time--Varying Networks
Creator	Başar, Tamer Beck, Carolyn Liu, Ji Paré, Philip Nedić, Angelia
source	ArXiv
abstract	Epidemic processes are used commonly for modeling and analysis of biological networks, computer networks, and human contact networks. The idea of competing viruses has been explored recently, motivated by the spread of different ideas along different social networks. Previous studies of competitive viruses have focused only on two viruses and on static graph structures. In this paper, we consider multiple competing viruses over static and dynamic graph structures, and investigate the eradication and propagation of diseases in these systems. Stability analysis for the class of models we consider is performed and an antidote control technique is proposed.
has issue date	2017-02-24(xsd:dateTime)
has license	arxiv
sha1sum (hex)	1491b1994a59738353532cc5faba1767f289e11b
resource representing a document's title	Multi-Competitive Viruses over Static and Time--Varying Networks
resource representing a document's body	covid:1491b1994a59738353532cc5faba1767f289e11b#body_text
is schema:about of	named entity 'models' named entity 'analysis' named entity 'social networks' named entity 'performed' named entity 'control' »more»

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