Epidemic spreading in scale-free networks including the effect of individual vigilance*.
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| Title: | Epidemic spreading in scale-free networks including the effect of individual vigilance*. |
|---|---|
| Authors: | Gong Yong-Wang1,2, Song Yu-Rong3, Jiang Guo-Ping3 jianggp@njupt.edu.cn |
| Source: | Chinese Physics B. Jan2012, Vol. 21 Issue 1, p1-5. 5p. |
| Subjects: | Computer networks, Mean field theory, Computer simulation, Epidemics, Time delay systems, Mathematical models |
| Abstract: | In this paper, we study the epidemic spreading in scale-free networks and propose a new susceptible-infectedrecovered (SIR) model that includes the effect of individual vigilance. In our model, the effective spreading rate is dynamically adjusted with the time evolution at the vigilance period. Using the mean-field theory, an analytical result is derived. It shows that individual vigilance has no effect on the epidemic threshold. The numerical simulations agree well with the analytical result. Furthermore, we investigate the effect of individual vigilance on the epidemic spreading speed. It is shown that individual vigilance can slow the epidemic spreading speed effectively and delay the arrival of peak epidemic infection. [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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 73934605 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Epidemic spreading in scale-free networks including the effect of individual vigilance*. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gong+Yong-Wang%22">Gong Yong-Wang</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Song+Yu-Rong%22">Song Yu-Rong</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Jiang+Guo-Ping%22">Jiang Guo-Ping</searchLink><relatesTo>3</relatesTo><i> jianggp@njupt.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Chinese+Physics+B%22">Chinese Physics B</searchLink>. Jan2012, Vol. 21 Issue 1, p1-5. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+networks%22">Computer networks</searchLink><br /><searchLink fieldCode="DE" term="%22Mean+field+theory%22">Mean field theory</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Time+delay+systems%22">Time delay systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we study the epidemic spreading in scale-free networks and propose a new susceptible-infectedrecovered (SIR) model that includes the effect of individual vigilance. In our model, the effective spreading rate is dynamically adjusted with the time evolution at the vigilance period. Using the mean-field theory, an analytical result is derived. It shows that individual vigilance has no effect on the epidemic threshold. The numerical simulations agree well with the analytical result. Furthermore, we investigate the effect of individual vigilance on the epidemic spreading speed. It is shown that individual vigilance can slow the epidemic spreading speed effectively and delay the arrival of peak epidemic infection. [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: 10.1088/1674-1056/21/1/010205 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1 Subjects: – SubjectFull: Computer networks Type: general – SubjectFull: Mean field theory Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Epidemics Type: general – SubjectFull: Time delay systems Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Epidemic spreading in scale-free networks including the effect of individual vigilance*. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gong Yong-Wang – PersonEntity: Name: NameFull: Song Yu-Rong – PersonEntity: Name: NameFull: Jiang Guo-Ping IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 16741056 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: Chinese Physics B Type: main |
| ResultId | 1 |
