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The simplicity of planar networks
Shortest paths are not always simple. In planar networks, they can be very different from those with the smallest number of turns - the simplest paths. The statistical comparison of the lengths of the shortest and simplest paths provides a non trivial and non local information about the spatial orga...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861802/ https://www.ncbi.nlm.nih.gov/pubmed/24336510 http://dx.doi.org/10.1038/srep03495 |
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author | Viana, Matheus P. Strano, Emanuele Bordin, Patricia Barthelemy, Marc |
author_facet | Viana, Matheus P. Strano, Emanuele Bordin, Patricia Barthelemy, Marc |
author_sort | Viana, Matheus P. |
collection | PubMed |
description | Shortest paths are not always simple. In planar networks, they can be very different from those with the smallest number of turns - the simplest paths. The statistical comparison of the lengths of the shortest and simplest paths provides a non trivial and non local information about the spatial organization of these graphs. We define the simplicity index as the average ratio of these lengths and the simplicity profile characterizes the simplicity at different scales. We measure these metrics on artificial (roads, highways, railways) and natural networks (leaves, slime mould, insect wings) and show that there are fundamental differences in the organization of urban and biological systems, related to their function, navigation or distribution: straight lines are organized hierarchically in biological cases, and have random lengths and locations in urban systems. In the case of time evolving networks, the simplicity is able to reveal important structural changes during their evolution. |
format | Online Article Text |
id | pubmed-3861802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-38618022013-12-13 The simplicity of planar networks Viana, Matheus P. Strano, Emanuele Bordin, Patricia Barthelemy, Marc Sci Rep Article Shortest paths are not always simple. In planar networks, they can be very different from those with the smallest number of turns - the simplest paths. The statistical comparison of the lengths of the shortest and simplest paths provides a non trivial and non local information about the spatial organization of these graphs. We define the simplicity index as the average ratio of these lengths and the simplicity profile characterizes the simplicity at different scales. We measure these metrics on artificial (roads, highways, railways) and natural networks (leaves, slime mould, insect wings) and show that there are fundamental differences in the organization of urban and biological systems, related to their function, navigation or distribution: straight lines are organized hierarchically in biological cases, and have random lengths and locations in urban systems. In the case of time evolving networks, the simplicity is able to reveal important structural changes during their evolution. Nature Publishing Group 2013-12-13 /pmc/articles/PMC3861802/ /pubmed/24336510 http://dx.doi.org/10.1038/srep03495 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Viana, Matheus P. Strano, Emanuele Bordin, Patricia Barthelemy, Marc The simplicity of planar networks |
title | The simplicity of planar networks |
title_full | The simplicity of planar networks |
title_fullStr | The simplicity of planar networks |
title_full_unstemmed | The simplicity of planar networks |
title_short | The simplicity of planar networks |
title_sort | simplicity of planar networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861802/ https://www.ncbi.nlm.nih.gov/pubmed/24336510 http://dx.doi.org/10.1038/srep03495 |
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