Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison

Graph theory serves as a valuable tool across numerous scientific disciplines, offering the means to model and analyze intricate networks. In this study, we explore the application of distance-based topological indices to a variety of graphs, including the total graph of paths, cycles, complete grap...

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Main Authors: Haseeb Ahmad, Muhammad Kamran Siddiqui, Muhammad Farhan Hanif, Brima Gegbe
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/jom/4423113
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author Haseeb Ahmad
Muhammad Kamran Siddiqui
Muhammad Farhan Hanif
Brima Gegbe
author_facet Haseeb Ahmad
Muhammad Kamran Siddiqui
Muhammad Farhan Hanif
Brima Gegbe
author_sort Haseeb Ahmad
collection DOAJ
description Graph theory serves as a valuable tool across numerous scientific disciplines, offering the means to model and analyze intricate networks. In this study, we explore the application of distance-based topological indices to a variety of graphs, including the total graph of paths, cycles, complete graphs, wheel graphs, helm graphs, and the Cartesian product of K1 and Kn. We investigate five distance-based indices: the Wiener index, multiplicative Wiener index, hyper-Wiener index, Harary index, and average distance. Through detailed analysis, we derive general formulas for these indices and test them on the specified graphs. Using MATLAB for numerical comparisons, we demonstrate the effectiveness of these indices in capturing the structural properties of different graph types. The findings from this study enhance our understanding of topological indices and their applications within the field of graph theory.
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institution Kabale University
issn 2314-4785
language English
publishDate 2024-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-96bd6783b6e84adfb218892d3eb5fa8e2024-12-03T00:00:09ZengWileyJournal of Mathematics2314-47852024-01-01202410.1155/jom/4423113Exploring the Distance-Based Topological Indices for Total Graphs via Numerical ComparisonHaseeb Ahmad0Muhammad Kamran Siddiqui1Muhammad Farhan Hanif2Brima Gegbe3Department of MathematicsDepartment of MathematicsDepartment of Mathematics and StatisticsDepartment of Mathematics and StatisticsGraph theory serves as a valuable tool across numerous scientific disciplines, offering the means to model and analyze intricate networks. In this study, we explore the application of distance-based topological indices to a variety of graphs, including the total graph of paths, cycles, complete graphs, wheel graphs, helm graphs, and the Cartesian product of K1 and Kn. We investigate five distance-based indices: the Wiener index, multiplicative Wiener index, hyper-Wiener index, Harary index, and average distance. Through detailed analysis, we derive general formulas for these indices and test them on the specified graphs. Using MATLAB for numerical comparisons, we demonstrate the effectiveness of these indices in capturing the structural properties of different graph types. The findings from this study enhance our understanding of topological indices and their applications within the field of graph theory.http://dx.doi.org/10.1155/jom/4423113
spellingShingle Haseeb Ahmad
Muhammad Kamran Siddiqui
Muhammad Farhan Hanif
Brima Gegbe
Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
Journal of Mathematics
title Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
title_full Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
title_fullStr Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
title_full_unstemmed Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
title_short Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
title_sort exploring the distance based topological indices for total graphs via numerical comparison
url http://dx.doi.org/10.1155/jom/4423113
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AT muhammadkamransiddiqui exploringthedistancebasedtopologicalindicesfortotalgraphsvianumericalcomparison
AT muhammadfarhanhanif exploringthedistancebasedtopologicalindicesfortotalgraphsvianumericalcomparison
AT brimagegbe exploringthedistancebasedtopologicalindicesfortotalgraphsvianumericalcomparison