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Transport collapse in dynamically evolving networks
Transport in complex networks can describe a variety of natural and human-engineered processes including biological, societal and technological ones. However, how the properties of the source and drain nodes can affect transport subject to random failures, attacks or maintenance optimization in the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031428/ https://www.ncbi.nlm.nih.gov/pubmed/36946086 http://dx.doi.org/10.1098/rsif.2022.0906 |
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author | Berthelot, Geoffroy Tupikina, Liubov Kang, Min-Yeong Dedecker, Jérôme Grebenkov, Denis |
author_facet | Berthelot, Geoffroy Tupikina, Liubov Kang, Min-Yeong Dedecker, Jérôme Grebenkov, Denis |
author_sort | Berthelot, Geoffroy |
collection | PubMed |
description | Transport in complex networks can describe a variety of natural and human-engineered processes including biological, societal and technological ones. However, how the properties of the source and drain nodes can affect transport subject to random failures, attacks or maintenance optimization in the network remain unknown. In this article, the effects of both the distance between the source and drain nodes and the degree of the source node on the time of transport collapse are studied in scale-free and lattice-based transport networks. These effects are numerically evaluated for two strategies, which employ either transport-based or random link removal. Scale-free networks with small distances are found to result in larger times of collapse. In lattice-based networks, both the dimension and boundary conditions are shown to have a major effect on the time of collapse. We also show that adding a direct link between the source and the drain increases the robustness of scale-free networks when subject to random link removals. Interestingly, the distribution of the times of collapse is then similar to the one of lattice-based networks. |
format | Online Article Text |
id | pubmed-10031428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100314282023-03-23 Transport collapse in dynamically evolving networks Berthelot, Geoffroy Tupikina, Liubov Kang, Min-Yeong Dedecker, Jérôme Grebenkov, Denis J R Soc Interface Life Sciences–Physics interface Transport in complex networks can describe a variety of natural and human-engineered processes including biological, societal and technological ones. However, how the properties of the source and drain nodes can affect transport subject to random failures, attacks or maintenance optimization in the network remain unknown. In this article, the effects of both the distance between the source and drain nodes and the degree of the source node on the time of transport collapse are studied in scale-free and lattice-based transport networks. These effects are numerically evaluated for two strategies, which employ either transport-based or random link removal. Scale-free networks with small distances are found to result in larger times of collapse. In lattice-based networks, both the dimension and boundary conditions are shown to have a major effect on the time of collapse. We also show that adding a direct link between the source and the drain increases the robustness of scale-free networks when subject to random link removals. Interestingly, the distribution of the times of collapse is then similar to the one of lattice-based networks. The Royal Society 2023-03-22 /pmc/articles/PMC10031428/ /pubmed/36946086 http://dx.doi.org/10.1098/rsif.2022.0906 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Physics interface Berthelot, Geoffroy Tupikina, Liubov Kang, Min-Yeong Dedecker, Jérôme Grebenkov, Denis Transport collapse in dynamically evolving networks |
title | Transport collapse in dynamically evolving networks |
title_full | Transport collapse in dynamically evolving networks |
title_fullStr | Transport collapse in dynamically evolving networks |
title_full_unstemmed | Transport collapse in dynamically evolving networks |
title_short | Transport collapse in dynamically evolving networks |
title_sort | transport collapse in dynamically evolving networks |
topic | Life Sciences–Physics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031428/ https://www.ncbi.nlm.nih.gov/pubmed/36946086 http://dx.doi.org/10.1098/rsif.2022.0906 |
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