Distance-based topological polynomials and indices of friendship graphs

Drugs and chemical compounds are often modeled as graphs in which the each vertex of the graph expresses an atom of molecule and covalent bounds between atoms are represented by the edges between their corresponding vertices. The topological indicators defined over this molecular graph have been sho...

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Detalles Bibliográficos
Autores principales: Gao, Wei, Farahani, Mohammad Reza, Imran, Muhammad, Rajesh Kanna, M. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023656/
https://www.ncbi.nlm.nih.gov/pubmed/27652136
http://dx.doi.org/10.1186/s40064-016-3271-5
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author Gao, Wei
Farahani, Mohammad Reza
Imran, Muhammad
Rajesh Kanna, M. R.
author_facet Gao, Wei
Farahani, Mohammad Reza
Imran, Muhammad
Rajesh Kanna, M. R.
author_sort Gao, Wei
collection PubMed
description Drugs and chemical compounds are often modeled as graphs in which the each vertex of the graph expresses an atom of molecule and covalent bounds between atoms are represented by the edges between their corresponding vertices. The topological indicators defined over this molecular graph have been shown to be strongly correlated to various chemical properties of the compounds. In this article, by means of graph structure analysis, we determine several distance based topological indices of friendship graph [Formula: see text] which is widely appeared in various classes of new nanomaterials, drugs and chemical compounds.
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spelling pubmed-50236562016-09-20 Distance-based topological polynomials and indices of friendship graphs Gao, Wei Farahani, Mohammad Reza Imran, Muhammad Rajesh Kanna, M. R. Springerplus Research Drugs and chemical compounds are often modeled as graphs in which the each vertex of the graph expresses an atom of molecule and covalent bounds between atoms are represented by the edges between their corresponding vertices. The topological indicators defined over this molecular graph have been shown to be strongly correlated to various chemical properties of the compounds. In this article, by means of graph structure analysis, we determine several distance based topological indices of friendship graph [Formula: see text] which is widely appeared in various classes of new nanomaterials, drugs and chemical compounds. Springer International Publishing 2016-09-15 /pmc/articles/PMC5023656/ /pubmed/27652136 http://dx.doi.org/10.1186/s40064-016-3271-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Research
Gao, Wei
Farahani, Mohammad Reza
Imran, Muhammad
Rajesh Kanna, M. R.
Distance-based topological polynomials and indices of friendship graphs
title Distance-based topological polynomials and indices of friendship graphs
title_full Distance-based topological polynomials and indices of friendship graphs
title_fullStr Distance-based topological polynomials and indices of friendship graphs
title_full_unstemmed Distance-based topological polynomials and indices of friendship graphs
title_short Distance-based topological polynomials and indices of friendship graphs
title_sort distance-based topological polynomials and indices of friendship graphs
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023656/
https://www.ncbi.nlm.nih.gov/pubmed/27652136
http://dx.doi.org/10.1186/s40064-016-3271-5
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AT rajeshkannamr distancebasedtopologicalpolynomialsandindicesoffriendshipgraphs

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