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Can rewiring strategy control the epidemic spreading?
Relation existed in the social contact network can affect individuals’ behaviors greatly. Considering the diversity of relation intimacy among network nodes, an epidemic propagation model is proposed by incorporating the link-breaking threshold, which is normally neglected in the rewiring strategy....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126863/ https://www.ncbi.nlm.nih.gov/pubmed/32288093 http://dx.doi.org/10.1016/j.physa.2015.06.037 |
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author | Dong, Chao Yin, Qiuju Liu, Wenyang Yan, Zhijun Shi, Tianyu |
author_facet | Dong, Chao Yin, Qiuju Liu, Wenyang Yan, Zhijun Shi, Tianyu |
author_sort | Dong, Chao |
collection | PubMed |
description | Relation existed in the social contact network can affect individuals’ behaviors greatly. Considering the diversity of relation intimacy among network nodes, an epidemic propagation model is proposed by incorporating the link-breaking threshold, which is normally neglected in the rewiring strategy. The impact of rewiring strategy on the epidemic spreading in the weighted adaptive network is explored. The results show that the rewiring strategy cannot always control the epidemic prevalence, especially when the link-breaking threshold is low. Meanwhile, as well as strong links, weak links also play a significant role on epidemic spreading. |
format | Online Article Text |
id | pubmed-7126863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71268632020-04-08 Can rewiring strategy control the epidemic spreading? Dong, Chao Yin, Qiuju Liu, Wenyang Yan, Zhijun Shi, Tianyu Physica A Article Relation existed in the social contact network can affect individuals’ behaviors greatly. Considering the diversity of relation intimacy among network nodes, an epidemic propagation model is proposed by incorporating the link-breaking threshold, which is normally neglected in the rewiring strategy. The impact of rewiring strategy on the epidemic spreading in the weighted adaptive network is explored. The results show that the rewiring strategy cannot always control the epidemic prevalence, especially when the link-breaking threshold is low. Meanwhile, as well as strong links, weak links also play a significant role on epidemic spreading. Elsevier B.V. 2015-11-15 2015-07-09 /pmc/articles/PMC7126863/ /pubmed/32288093 http://dx.doi.org/10.1016/j.physa.2015.06.037 Text en Copyright © 2015 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Dong, Chao Yin, Qiuju Liu, Wenyang Yan, Zhijun Shi, Tianyu Can rewiring strategy control the epidemic spreading? |
title | Can rewiring strategy control the epidemic spreading? |
title_full | Can rewiring strategy control the epidemic spreading? |
title_fullStr | Can rewiring strategy control the epidemic spreading? |
title_full_unstemmed | Can rewiring strategy control the epidemic spreading? |
title_short | Can rewiring strategy control the epidemic spreading? |
title_sort | can rewiring strategy control the epidemic spreading? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126863/ https://www.ncbi.nlm.nih.gov/pubmed/32288093 http://dx.doi.org/10.1016/j.physa.2015.06.037 |
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