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The impact of the network topology on the viral prevalence: a node-based approach

Yang, Lu-Xing, Draief, Moez and Yang, Xiaofan 2015, The impact of the network topology on the viral prevalence: a node-based approach, PLoS one, vol. 10, no. 7, pp. 1-15, doi: 10.1371/journal.pone.0134507.

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Title The impact of the network topology on the viral prevalence: a node-based approach
Author(s) Yang, Lu-XingORCID iD for Yang, Lu-Xing orcid.org/0000-0002-9229-5787
Draief, Moez
Yang, Xiaofan
Journal name PLoS one
Volume number 10
Issue number 7
Article ID e0134507
Start page 1
End page 15
Total pages 15
Publisher Public Library of Science
Place of publication San Francisco, Calif.
Publication date 2015-07-29
ISSN 1932-6203
Keyword(s) computer security
computer simulation
internet
computer networks
eigenvalues
computers
system stability
computer modeling
viral persistence and latency
infectious disease modeling
viral structure
Summary This paper addresses the impact of the structure of the viral propagation network on the viral prevalence. For that purpose, a new epidemic model of computer virus, known as the node-based SLBS model, is proposed. Our analysis shows that the maximum eigenvalue of the underlying network is a key factor determining the viral prevalence. Specifically, the value range of the maximum eigenvalue is partitioned into three subintervals: viruses tend to extinction very quickly or approach extinction or persist depending on into which subinterval the maximum eigenvalue of the propagation network falls. Consequently, computer virus can be contained by adjusting the propagation network so that its maximum eigenvalue falls into the desired subinterval.
Language eng
DOI 10.1371/journal.pone.0134507
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2015, Yang et al.
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30107780

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.