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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-6156504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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