Further study of eccentricity based indices for benzenoid hourglass network

Topological Indices are the mathematical estimate related to atomic graph that corresponds biological structure with several real properties and chemical activities. These indices are invariant of graph under graph isomorphism. If top(h1) and top(h2) denotes topological index h1 and h2 respectively...

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Main Authors: Hifza Iqbal, Muhammad Haroon Aftab, Ali Akgul, Zeeshan Saleem Mufti, Iram Yaqoob, Mustafa Bayram, Muhammad Bilal Riaz
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023041634
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author Hifza Iqbal
Muhammad Haroon Aftab
Ali Akgul
Zeeshan Saleem Mufti
Iram Yaqoob
Mustafa Bayram
Muhammad Bilal Riaz
author_facet Hifza Iqbal
Muhammad Haroon Aftab
Ali Akgul
Zeeshan Saleem Mufti
Iram Yaqoob
Mustafa Bayram
Muhammad Bilal Riaz
author_sort Hifza Iqbal
collection DOAJ
description Topological Indices are the mathematical estimate related to atomic graph that corresponds biological structure with several real properties and chemical activities. These indices are invariant of graph under graph isomorphism. If top(h1) and top(h2) denotes topological index h1 and h2 respectively then h1 approximately equal h2 which implies that top(h1) = top(h2). In biochemistry, chemical science, nano-medicine, biotechnology and many other science's distance based and eccentricity-connectivity(EC) based topological invariants of a network are beneficial in the study of structure-property relationships and structure-activity relationships. These indices help the chemist and pharmacist to overcome the shortage of laboratory and equipment. In this paper we calculate the formulas of eccentricity-connectivity descriptor(ECD) and their related polynomials, total eccentricity-connectivity(TEC) polynomial, augmented eccentricity-connectivity(AEC) descriptor and further the modified eccentricity-connectivity(MEC) descriptor with their related polynomials for hourglass benzenoid network.
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spelling doaj.art-42c74117047a40bc9feff5706adbb3382023-06-16T05:10:19ZengElsevierHeliyon2405-84402023-06-0196e16956Further study of eccentricity based indices for benzenoid hourglass networkHifza Iqbal0Muhammad Haroon Aftab1Ali Akgul2Zeeshan Saleem Mufti3Iram Yaqoob4Mustafa Bayram5Muhammad Bilal Riaz6Department of Mathematics and Statistics, The University of Lahore, Lahore, 54500, PakistanDepartment of Mathematics and Statistics, The University of Lahore, Lahore, 54500, PakistanDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; Siirt University, Art and Science Faculty, Department of Mathematics, 56100, Siirt, Turkey; Near East University, Mathematics Research Center, Department of Mathematics, Near East Boulevard, PC: 99138, Nicosia, Mersin, 10, TurkeyDepartment of Mathematics and Statistics, The University of Lahore, Lahore, 54500, PakistanDepartment of Mathematics and Statistics, The University of Lahore, Lahore, 54500, PakistanDepartment of Computer Engineering, Biruni University, 34010, Topkapı, Istanbul, TurkeyFaculty of Applied Physics and Mathematics, Gdansk University of Technology, Poland; Department of Computer Science and Mathematics, Lebanese American University, Byblos, Lebanon; Department of Mathematics, University of Management and Technology, Pakistan; Corresponding author. Faculty of Applied Physics and Mathematics, Gdansk University of Technology, Poland.Topological Indices are the mathematical estimate related to atomic graph that corresponds biological structure with several real properties and chemical activities. These indices are invariant of graph under graph isomorphism. If top(h1) and top(h2) denotes topological index h1 and h2 respectively then h1 approximately equal h2 which implies that top(h1) = top(h2). In biochemistry, chemical science, nano-medicine, biotechnology and many other science's distance based and eccentricity-connectivity(EC) based topological invariants of a network are beneficial in the study of structure-property relationships and structure-activity relationships. These indices help the chemist and pharmacist to overcome the shortage of laboratory and equipment. In this paper we calculate the formulas of eccentricity-connectivity descriptor(ECD) and their related polynomials, total eccentricity-connectivity(TEC) polynomial, augmented eccentricity-connectivity(AEC) descriptor and further the modified eccentricity-connectivity(MEC) descriptor with their related polynomials for hourglass benzenoid network.http://www.sciencedirect.com/science/article/pii/S2405844023041634HourglassPolynomialBiological graphNaphthaleneStructure-propertyStructure-activity
spellingShingle Hifza Iqbal
Muhammad Haroon Aftab
Ali Akgul
Zeeshan Saleem Mufti
Iram Yaqoob
Mustafa Bayram
Muhammad Bilal Riaz
Further study of eccentricity based indices for benzenoid hourglass network
Heliyon
Hourglass
Polynomial
Biological graph
Naphthalene
Structure-property
Structure-activity
title Further study of eccentricity based indices for benzenoid hourglass network
title_full Further study of eccentricity based indices for benzenoid hourglass network
title_fullStr Further study of eccentricity based indices for benzenoid hourglass network
title_full_unstemmed Further study of eccentricity based indices for benzenoid hourglass network
title_short Further study of eccentricity based indices for benzenoid hourglass network
title_sort further study of eccentricity based indices for benzenoid hourglass network
topic Hourglass
Polynomial
Biological graph
Naphthalene
Structure-property
Structure-activity
url http://www.sciencedirect.com/science/article/pii/S2405844023041634
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