Extracting h-Backbone as a Core Structure in Weighted Networks
Abstract 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...
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Nature Portfolio
2018
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oai:doaj.org-article:1f53a8fd6b8c4816b896e588b81e6ffb2021-12-02T15:07:56ZExtracting h-Backbone as a Core Structure in Weighted Networks10.1038/s41598-018-32430-12045-2322https://doaj.org/article/1f53a8fd6b8c4816b896e588b81e6ffb2018-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-32430-1https://doaj.org/toc/2045-2322Abstract 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.Ronda J. ZhangH. Eugene StanleyFred Y. YeNature PortfolioarticleCore StructureScience Network PublishingAdjacent NodesComplex Network SystemEdge BetweennessMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-7 (2018) |
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DOAJ |
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Core Structure Science Network Publishing Adjacent Nodes Complex Network System Edge Betweenness Medicine R Science Q |
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Core Structure Science Network Publishing Adjacent Nodes Complex Network System Edge Betweenness Medicine R Science Q Ronda J. Zhang H. Eugene Stanley Fred Y. Ye Extracting h-Backbone as a Core Structure in Weighted Networks |
description |
Abstract 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 |
article |
author |
Ronda J. Zhang H. Eugene Stanley Fred Y. Ye |
author_facet |
Ronda J. Zhang H. Eugene Stanley Fred Y. Ye |
author_sort |
Ronda J. Zhang |
title |
Extracting h-Backbone as a Core Structure in Weighted Networks |
title_short |
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_sort |
extracting h-backbone as a core structure in weighted networks |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/1f53a8fd6b8c4816b896e588b81e6ffb |
work_keys_str_mv |
AT rondajzhang extractinghbackboneasacorestructureinweightednetworks AT heugenestanley extractinghbackboneasacorestructureinweightednetworks AT fredyye extractinghbackboneasacorestructureinweightednetworks |
_version_ |
1718388302632976384 |