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Degree-Based Graph Entropy in Structure–Property Modeling

Graph entropy plays an essential role in interpreting the structural information and complexity measure of a network. Let G be a graph of order n. Suppose [Formula: see text] is degree of the vertex [Formula: see text] for each [Formula: see text]. Now, the k-th degree-based graph entropy for G is d...

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Detalles Bibliográficos
Autores principales: Mondal, Sourav, Das, Kinkar Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10379043/
https://www.ncbi.nlm.nih.gov/pubmed/37510039
http://dx.doi.org/10.3390/e25071092
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author Mondal, Sourav
Das, Kinkar Chandra
author_facet Mondal, Sourav
Das, Kinkar Chandra
author_sort Mondal, Sourav
collection PubMed
description Graph entropy plays an essential role in interpreting the structural information and complexity measure of a network. Let G be a graph of order n. Suppose [Formula: see text] is degree of the vertex [Formula: see text] for each [Formula: see text]. Now, the k-th degree-based graph entropy for G is defined as [Formula: see text] where k is real number. The first-degree-based entropy is generated for [Formula: see text] , which has been well nurtured in last few years. As [Formula: see text] yields the well-known graph invariant first Zagreb index, the [Formula: see text] for [Formula: see text] is worthy of investigation. We call this graph entropy as the second-degree-based entropy. The present work aims to investigate the role of [Formula: see text] in structure property modeling of molecules.
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spelling pubmed-103790432023-07-29 Degree-Based Graph Entropy in Structure–Property Modeling Mondal, Sourav Das, Kinkar Chandra Entropy (Basel) Article Graph entropy plays an essential role in interpreting the structural information and complexity measure of a network. Let G be a graph of order n. Suppose [Formula: see text] is degree of the vertex [Formula: see text] for each [Formula: see text]. Now, the k-th degree-based graph entropy for G is defined as [Formula: see text] where k is real number. The first-degree-based entropy is generated for [Formula: see text] , which has been well nurtured in last few years. As [Formula: see text] yields the well-known graph invariant first Zagreb index, the [Formula: see text] for [Formula: see text] is worthy of investigation. We call this graph entropy as the second-degree-based entropy. The present work aims to investigate the role of [Formula: see text] in structure property modeling of molecules. MDPI 2023-07-21 /pmc/articles/PMC10379043/ /pubmed/37510039 http://dx.doi.org/10.3390/e25071092 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
Mondal, Sourav
Das, Kinkar Chandra
Degree-Based Graph Entropy in Structure–Property Modeling
title Degree-Based Graph Entropy in Structure–Property Modeling
title_full Degree-Based Graph Entropy in Structure–Property Modeling
title_fullStr Degree-Based Graph Entropy in Structure–Property Modeling
title_full_unstemmed Degree-Based Graph Entropy in Structure–Property Modeling
title_short Degree-Based Graph Entropy in Structure–Property Modeling
title_sort degree-based graph entropy in structure–property modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10379043/
https://www.ncbi.nlm.nih.gov/pubmed/37510039
http://dx.doi.org/10.3390/e25071092
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