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Extracting h-Backbone as a Core Structure in Weighted Networks

Determining the core structure of complex network systems allows us to simplify them. Using h-bridge and h-strength measurements in a weighted network, we extract the h-backbone core structure. We find that focusing on the h-backbone in a network allows greater simplification because it has fewer ed...

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Detalles Bibliográficos
Autores principales: Zhang, Ronda J., Stanley, H. Eugene, Ye, Fred Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156504/
https://www.ncbi.nlm.nih.gov/pubmed/30254200
http://dx.doi.org/10.1038/s41598-018-32430-1
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author Zhang, Ronda J.
Stanley, H. Eugene
Ye, Fred Y.
author_facet Zhang, Ronda J.
Stanley, H. Eugene
Ye, Fred Y.
author_sort Zhang, Ronda J.
collection PubMed
description Determining the core structure of complex network systems allows us to simplify them. Using h-bridge and h-strength measurements in a weighted network, we extract the h-backbone core structure. We find that focusing on the h-backbone in a network allows greater simplification because it has fewer edges and thus fewer adjacent nodes. We examine three practical applications: the co-citation network in an information system, the open flight network in a social system, and coauthorship in network science publications.
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spelling pubmed-61565042018-09-28 Extracting h-Backbone as a Core Structure in Weighted Networks Zhang, Ronda J. Stanley, H. Eugene Ye, Fred Y. Sci Rep Article Determining the core structure of complex network systems allows us to simplify them. Using h-bridge and h-strength measurements in a weighted network, we extract the h-backbone core structure. We find that focusing on the h-backbone in a network allows greater simplification because it has fewer edges and thus fewer adjacent nodes. We examine three practical applications: the co-citation network in an information system, the open flight network in a social system, and coauthorship in network science publications. Nature Publishing Group UK 2018-09-25 /pmc/articles/PMC6156504/ /pubmed/30254200 http://dx.doi.org/10.1038/s41598-018-32430-1 Text en © The Author(s) 2018 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/.
spellingShingle Article
Zhang, Ronda J.
Stanley, H. Eugene
Ye, Fred Y.
Extracting h-Backbone as a Core Structure in Weighted Networks
title Extracting h-Backbone as a Core Structure in Weighted Networks
title_full Extracting h-Backbone as a Core Structure in Weighted Networks
title_fullStr Extracting h-Backbone as a Core Structure in Weighted Networks
title_full_unstemmed Extracting h-Backbone as a Core Structure in Weighted Networks
title_short Extracting h-Backbone as a Core Structure in Weighted Networks
title_sort extracting h-backbone as a core structure in weighted networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156504/
https://www.ncbi.nlm.nih.gov/pubmed/30254200
http://dx.doi.org/10.1038/s41598-018-32430-1
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