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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...

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Detalles Bibliográficos
Autores principales: Viana, Matheus P., Strano, Emanuele, Bordin, Patricia, Barthelemy, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
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.
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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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