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A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings

Ring-and-hub network structure is very common in the real world, while that neighboring rings may sometimes share nodes or line segments makes this structure irregular. In this paper, we modify Dorogovtsev-Mendes model and its subsequent models to analytically estimate the average distance between n...

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Detalles Bibliográficos
Autores principales: Fu, Tao, Li, Chenguang, Wu, Long, Zou, Liling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674884/
https://www.ncbi.nlm.nih.gov/pubmed/36411914
http://dx.doi.org/10.1016/j.heliyon.2022.e11470
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author Fu, Tao
Li, Chenguang
Wu, Long
Zou, Liling
author_facet Fu, Tao
Li, Chenguang
Wu, Long
Zou, Liling
author_sort Fu, Tao
collection PubMed
description Ring-and-hub network structure is very common in the real world, while that neighboring rings may sometimes share nodes or line segments makes this structure irregular. In this paper, we modify Dorogovtsev-Mendes model and its subsequent models to analytically estimate the average distance between nodes on the same ring in irregular ring-and-hub networks. In order to observe the accuracy of our modified model, we develop an algorithm to generate irregular ring-and-hub networks by computer. Then, we compare the analytic estimates with the practical values on those computer-generated and real networks. The results show that our modified model actually estimates the average shortest distance of its rings when only straight and U-shape paths between the start and end points are allowed. The accuracy of estimates for innermost several rings can be acceptable.
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spelling pubmed-96748842022-11-20 A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings Fu, Tao Li, Chenguang Wu, Long Zou, Liling Heliyon Research Article Ring-and-hub network structure is very common in the real world, while that neighboring rings may sometimes share nodes or line segments makes this structure irregular. In this paper, we modify Dorogovtsev-Mendes model and its subsequent models to analytically estimate the average distance between nodes on the same ring in irregular ring-and-hub networks. In order to observe the accuracy of our modified model, we develop an algorithm to generate irregular ring-and-hub networks by computer. Then, we compare the analytic estimates with the practical values on those computer-generated and real networks. The results show that our modified model actually estimates the average shortest distance of its rings when only straight and U-shape paths between the start and end points are allowed. The accuracy of estimates for innermost several rings can be acceptable. Elsevier 2022-11-14 /pmc/articles/PMC9674884/ /pubmed/36411914 http://dx.doi.org/10.1016/j.heliyon.2022.e11470 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Fu, Tao
Li, Chenguang
Wu, Long
Zou, Liling
A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
title A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
title_full A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
title_fullStr A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
title_full_unstemmed A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
title_short A specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
title_sort specific type of irregular ring-and-hub network structure and the average shortest distance of its rings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674884/
https://www.ncbi.nlm.nih.gov/pubmed/36411914
http://dx.doi.org/10.1016/j.heliyon.2022.e11470
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