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On Divided-Type Connectivity of Graphs

The graph connectivity is a fundamental concept in graph theory. In particular, it plays a vital role in applications related to the modern interconnection graphs, e.g., it can be used to measure the vulnerability of the corresponding graph, and is an important metric for reliability and fault toler...

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Detalles Bibliográficos
Autores principales: Zhou, Qiao, Wang, Xiaomin, Yao, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857998/
https://www.ncbi.nlm.nih.gov/pubmed/36673317
http://dx.doi.org/10.3390/e25010176
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author Zhou, Qiao
Wang, Xiaomin
Yao, Bing
author_facet Zhou, Qiao
Wang, Xiaomin
Yao, Bing
author_sort Zhou, Qiao
collection PubMed
description The graph connectivity is a fundamental concept in graph theory. In particular, it plays a vital role in applications related to the modern interconnection graphs, e.g., it can be used to measure the vulnerability of the corresponding graph, and is an important metric for reliability and fault tolerance of the graph. Here, firstly, we introduce two types of divided operations, named vertex-divided operation and edge-divided operation, respectively, as well as their inverse operations vertex-coincident operation and edge-coincident operation, to find some methods for splitting vertices of graphs. Secondly, we define a new connectivity, which can be referred to as divided connectivity, which differs from traditional connectivity, and present an equivalence relationship between traditional connectivity and our divided connectivity. Afterwards, we explore the structures of graphs based on the vertex-divided connectivity. Then, as an application of our divided operations, we show some necessary and sufficient conditions for a graph to be an Euler’s graph. Finally, we propose some valuable and meaningful problems for further research.
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spelling pubmed-98579982023-01-21 On Divided-Type Connectivity of Graphs Zhou, Qiao Wang, Xiaomin Yao, Bing Entropy (Basel) Article The graph connectivity is a fundamental concept in graph theory. In particular, it plays a vital role in applications related to the modern interconnection graphs, e.g., it can be used to measure the vulnerability of the corresponding graph, and is an important metric for reliability and fault tolerance of the graph. Here, firstly, we introduce two types of divided operations, named vertex-divided operation and edge-divided operation, respectively, as well as their inverse operations vertex-coincident operation and edge-coincident operation, to find some methods for splitting vertices of graphs. Secondly, we define a new connectivity, which can be referred to as divided connectivity, which differs from traditional connectivity, and present an equivalence relationship between traditional connectivity and our divided connectivity. Afterwards, we explore the structures of graphs based on the vertex-divided connectivity. Then, as an application of our divided operations, we show some necessary and sufficient conditions for a graph to be an Euler’s graph. Finally, we propose some valuable and meaningful problems for further research. MDPI 2023-01-16 /pmc/articles/PMC9857998/ /pubmed/36673317 http://dx.doi.org/10.3390/e25010176 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Qiao
Wang, Xiaomin
Yao, Bing
On Divided-Type Connectivity of Graphs
title On Divided-Type Connectivity of Graphs
title_full On Divided-Type Connectivity of Graphs
title_fullStr On Divided-Type Connectivity of Graphs
title_full_unstemmed On Divided-Type Connectivity of Graphs
title_short On Divided-Type Connectivity of Graphs
title_sort on divided-type connectivity of graphs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857998/
https://www.ncbi.nlm.nih.gov/pubmed/36673317
http://dx.doi.org/10.3390/e25010176
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