Quantifying efficient information exchange in real network flows

While the global efficiency measures how easy it is to travel or exchange information concurrently between any two nodes in a network, this might be difficult to compute when networks are not embedded into space and edge weights do not encode physical distances, but instead represent flows. Here, th...

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Autores principales:	Giulia Bertagnolli, Riccardo Gallotti, Manlio De Domenico
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/553118e888964052b1cb6a1f1b948e88
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spelling	oai:doaj.org-article:553118e888964052b1cb6a1f1b948e882021-12-02T17:52:25ZQuantifying efficient information exchange in real network flows10.1038/s42005-021-00612-52399-3650https://doaj.org/article/553118e888964052b1cb6a1f1b948e882021-06-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00612-5https://doaj.org/toc/2399-3650While the global efficiency measures how easy it is to travel or exchange information concurrently between any two nodes in a network, this might be difficult to compute when networks are not embedded into space and edge weights do not encode physical distances, but instead represent flows. Here, the authors propose and analyse an efficiency measure based on the flow across least resistance pathways that can be computed without any knowledge on the system except for its weighted representation.Giulia BertagnolliRiccardo GallottiManlio De DomenicoNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Giulia Bertagnolli Riccardo Gallotti Manlio De Domenico Quantifying efficient information exchange in real network flows
description	While the global efficiency measures how easy it is to travel or exchange information concurrently between any two nodes in a network, this might be difficult to compute when networks are not embedded into space and edge weights do not encode physical distances, but instead represent flows. Here, the authors propose and analyse an efficiency measure based on the flow across least resistance pathways that can be computed without any knowledge on the system except for its weighted representation.
format	article
author	Giulia Bertagnolli Riccardo Gallotti Manlio De Domenico
author_facet	Giulia Bertagnolli Riccardo Gallotti Manlio De Domenico
author_sort	Giulia Bertagnolli
title	Quantifying efficient information exchange in real network flows
title_short	Quantifying efficient information exchange in real network flows
title_full	Quantifying efficient information exchange in real network flows
title_fullStr	Quantifying efficient information exchange in real network flows
title_full_unstemmed	Quantifying efficient information exchange in real network flows
title_sort	quantifying efficient information exchange in real network flows
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/553118e888964052b1cb6a1f1b948e88
work_keys_str_mv	AT giuliabertagnolli quantifyingefficientinformationexchangeinrealnetworkflows AT riccardogallotti quantifyingefficientinformationexchangeinrealnetworkflows AT manliodedomenico quantifyingefficientinformationexchangeinrealnetworkflows
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Quantifying efficient information exchange in real network flows

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