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Dynamical rewiring in adaptive weighted heterogeneous networks.

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Title: Dynamical rewiring in adaptive weighted heterogeneous networks.
Authors: Song, Bo1,2 (AUTHOR) songbo19870510@126.com, Song, Yu-Rong3 (AUTHOR) songyr@njupt.edu.cn, Jiang, Guo-Ping3 (AUTHOR) jianggp@njupt.edu.cn, Xia, Ling-Ling4 (AUTHOR) xialingling208060504@126.com
Source: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 4/10/2019, Vol. 33 Issue 9, pN.PAG-N.PAG. 13p.
Subjects: Computer viruses, Epidemics, Topology, Viruses
Abstract: When virus spreads in a network, individuals may adaptively change their contact relationships to reduce risk of infection. In order to describe the interaction between a time varying network topology and the dynamics of the nodes, here we propose a susceptible–infected–susceptible (SIS) model on a weighted adaptive heterogeneous network where the dynamics of and on the networks are described. Rewiring strategies are designed to inhibit the epidemic spreading. Our results show that network topology and individual behaviors have significant influence on virus spreading in a weighted adaptive heterogeneous network. The adaptive rewiring process during the dynamics can effectively inhibit virus spreading. Large dispersion of weights can significantly decrease the final epidemic size. Moreover, our proposed rewiring strategies based on the individual spontaneous behaviors are effective for the inhibition of epidemics. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 135933963
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Dynamical rewiring in adaptive weighted heterogeneous networks.
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  Data: <searchLink fieldCode="DE" term="%22Computer+viruses%22">Computer viruses</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Topology%22">Topology</searchLink><br /><searchLink fieldCode="DE" term="%22Viruses%22">Viruses</searchLink>
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  Label: Abstract
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  Data: When virus spreads in a network, individuals may adaptively change their contact relationships to reduce risk of infection. In order to describe the interaction between a time varying network topology and the dynamics of the nodes, here we propose a susceptible–infected–susceptible (SIS) model on a weighted adaptive heterogeneous network where the dynamics of and on the networks are described. Rewiring strategies are designed to inhibit the epidemic spreading. Our results show that network topology and individual behaviors have significant influence on virus spreading in a weighted adaptive heterogeneous network. The adaptive rewiring process during the dynamics can effectively inhibit virus spreading. Large dispersion of weights can significantly decrease the final epidemic size. Moreover, our proposed rewiring strategies based on the individual spontaneous behaviors are effective for the inhibition of epidemics. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1142/S0217979219500693
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: N.PAG
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      – SubjectFull: Computer viruses
        Type: general
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Topology
        Type: general
      – SubjectFull: Viruses
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      – TitleFull: Dynamical rewiring in adaptive weighted heterogeneous networks.
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            NameFull: Song, Bo
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            NameFull: Song, Yu-Rong
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            NameFull: Jiang, Guo-Ping
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            NameFull: Xia, Ling-Ling
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            – D: 10
              M: 04
              Text: 4/10/2019
              Type: published
              Y: 2019
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              Value: 33
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            – TitleFull: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics
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