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Epidemic propagation on adaptive coevolutionary networks with preferential local-world reconnecting strategy.

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Title: Epidemic propagation on adaptive coevolutionary networks with preferential local-world reconnecting strategy.
Authors: Song Yu-Rong1 songyr@njupt.edu.cn, Jiang Guo-Ping1, Gong Yong-Wang1
Source: Chinese Physics B. 2013, Vol. 22 Issue 4, p1-7. 7p.
Subjects: Cellular automata, Coevolution, Optical bistability, Computer network security, Sequential machine theory, Mathematical models
Abstract: In the propagation of an epidemic in a population, individuals adaptively adjust their behavior to avoid the risk of an epidemic. Differently from existing studies where new links are established randomly, a local link is established preferentially in this paper. We propose a new preferentially reconnecting edge strategy depending on spatial distance (PR- SD). For the PR-SD strategy, the new link is established at random with probability p and in a shortest distance with the probability 1 - p. We establish the epidemic model on an adaptive network using Cellular Automata, and demonstrate the effectiveness of the proposed model by numerical simulations. The results show that the smaller the value of parameter p, the more difficult the epidemic spread is. The PR-SD strategy breaks long-range links and establishes as many short-range links as possible, which causes the network efficiency to decrease quickly and the propagation of the epidemic is restrained effectively. [ABSTRACT FROM AUTHOR]
Copyright of Chinese Physics B is the property of IOP Publishing 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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Header DbId: egs
DbLabel: Engineering Source
An: 90156187
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Epidemic propagation on adaptive coevolutionary networks with preferential local-world reconnecting strategy.
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  Data: <searchLink fieldCode="AR" term="%22Song+Yu-Rong%22">Song Yu-Rong</searchLink><relatesTo>1</relatesTo><i> songyr@njupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jiang+Guo-Ping%22">Jiang Guo-Ping</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gong+Yong-Wang%22">Gong Yong-Wang</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Chinese+Physics+B%22">Chinese Physics B</searchLink>. 2013, Vol. 22 Issue 4, p1-7. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Cellular+automata%22">Cellular automata</searchLink><br /><searchLink fieldCode="DE" term="%22Coevolution%22">Coevolution</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+bistability%22">Optical bistability</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+security%22">Computer network security</searchLink><br /><searchLink fieldCode="DE" term="%22Sequential+machine+theory%22">Sequential machine theory</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In the propagation of an epidemic in a population, individuals adaptively adjust their behavior to avoid the risk of an epidemic. Differently from existing studies where new links are established randomly, a local link is established preferentially in this paper. We propose a new preferentially reconnecting edge strategy depending on spatial distance (PR- SD). For the PR-SD strategy, the new link is established at random with probability p and in a shortest distance with the probability 1 - p. We establish the epidemic model on an adaptive network using Cellular Automata, and demonstrate the effectiveness of the proposed model by numerical simulations. The results show that the smaller the value of parameter p, the more difficult the epidemic spread is. The PR-SD strategy breaks long-range links and establishes as many short-range links as possible, which causes the network efficiency to decrease quickly and the propagation of the epidemic is restrained effectively. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Chinese Physics B is the property of IOP Publishing 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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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1088/1674-1056/22/4/040205
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 1
    Subjects:
      – SubjectFull: Cellular automata
        Type: general
      – SubjectFull: Coevolution
        Type: general
      – SubjectFull: Optical bistability
        Type: general
      – SubjectFull: Computer network security
        Type: general
      – SubjectFull: Sequential machine theory
        Type: general
      – SubjectFull: Mathematical models
        Type: general
    Titles:
      – TitleFull: Epidemic propagation on adaptive coevolutionary networks with preferential local-world reconnecting strategy.
        Type: main
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            NameFull: Song Yu-Rong
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            NameFull: Jiang Guo-Ping
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            NameFull: Gong Yong-Wang
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            – D: 01
              M: 04
              Text: 2013
              Type: published
              Y: 2013
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              Value: 16741056
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              Value: 22
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              Value: 4
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            – TitleFull: Chinese Physics B
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