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Dual communities in spatial networks

Both human-made and natural supply systems, such as power grids and leaf venation networks, are built to operate reliably under changing external conditions. Many of these spatial networks exhibit community structures. Here, we show that a relatively strong connectivity between the parts of a networ...

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Autores principales: Kaiser, Franz, Böttcher, Philipp C., Ronellenfitsch, Henrik, Latora, Vito, Witthaut, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719545/
https://www.ncbi.nlm.nih.gov/pubmed/36463284
http://dx.doi.org/10.1038/s41467-022-34939-6
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author Kaiser, Franz
Böttcher, Philipp C.
Ronellenfitsch, Henrik
Latora, Vito
Witthaut, Dirk
author_facet Kaiser, Franz
Böttcher, Philipp C.
Ronellenfitsch, Henrik
Latora, Vito
Witthaut, Dirk
author_sort Kaiser, Franz
collection PubMed
description Both human-made and natural supply systems, such as power grids and leaf venation networks, are built to operate reliably under changing external conditions. Many of these spatial networks exhibit community structures. Here, we show that a relatively strong connectivity between the parts of a network can be used to define a different class of communities: dual communities. We demonstrate that traditional and dual communities emerge naturally as two different phases of optimized network structures that are shaped by fluctuations and that they both suppress failure spreading, which underlines their importance in understanding the shape of real-world supply networks.
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spelling pubmed-97195452022-12-05 Dual communities in spatial networks Kaiser, Franz Böttcher, Philipp C. Ronellenfitsch, Henrik Latora, Vito Witthaut, Dirk Nat Commun Article Both human-made and natural supply systems, such as power grids and leaf venation networks, are built to operate reliably under changing external conditions. Many of these spatial networks exhibit community structures. Here, we show that a relatively strong connectivity between the parts of a network can be used to define a different class of communities: dual communities. We demonstrate that traditional and dual communities emerge naturally as two different phases of optimized network structures that are shaped by fluctuations and that they both suppress failure spreading, which underlines their importance in understanding the shape of real-world supply networks. Nature Publishing Group UK 2022-12-03 /pmc/articles/PMC9719545/ /pubmed/36463284 http://dx.doi.org/10.1038/s41467-022-34939-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kaiser, Franz
Böttcher, Philipp C.
Ronellenfitsch, Henrik
Latora, Vito
Witthaut, Dirk
Dual communities in spatial networks
title Dual communities in spatial networks
title_full Dual communities in spatial networks
title_fullStr Dual communities in spatial networks
title_full_unstemmed Dual communities in spatial networks
title_short Dual communities in spatial networks
title_sort dual communities in spatial networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719545/
https://www.ncbi.nlm.nih.gov/pubmed/36463284
http://dx.doi.org/10.1038/s41467-022-34939-6
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