Study for Some Eccentricity-based Topological Indices of Second Type of Dominating David-derived Network


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Abstract

Background:Dominating David-derived networks are widely studied due to their fractal nature, with applications in topology, chemistry, and computer sciences. The use of molecular structure descriptors is a standard procedure that is used to correlate the biological activity of molecules with their chemical structures, which can be useful in the field of pharmacology.

Objective:This article's goal is to develop analytically closed computing formulas for eccentricitybased descriptors of the second type of dominating David-derived network. Thermodynamic characteristics, physicochemical properties, and chemical and biological activities of chemical graphs are just a few of the many properties that may be determined using these computation formulas.

Methods:Vertex sets were initially divided according to their degrees, eccentricities, and cardinalities of occurrence. The eccentricity-based indices are then computed using some combinatorics and these partitions.

Results:Total eccentricity, average eccentricity, and the Zagreb index are distance-based topological indices utilized in this study for the second type of dominating David-derived network, denoted as D2(m).

Conclusion:These calculations will assist the readers in estimating the fractal and difficult-tohandle thermodynamic and physicochemical aspects of chemical structure. Apart from configuration and impact resistance, the D2(m) design has been used for fundamental reasons in a variety of technical and scientific advancements.

About the authors

Jia-Bao Liu

School of Mathematics and Physics,, Anhui Jianzhu University

Email: info@benthamscience.net

Haidar Ali

Department of Mathematics,, Riphah International University

Author for correspondence.
Email: info@benthamscience.net

Didar Ali

Department of Mathematics, Faculty of Science,, University of Zakho

Email: info@benthamscience.net

Ayesha Umer

Department of Mathematics, Riphah International University

Email: info@benthamscience.net

Parvez Ali

Department of Mechanical Engineering, College of Engineering,, Qassim University

Email: info@benthamscience.net

Syed Ajaz Kirmani

Department of Electrical Engineering, College of Engineering, Qassim University,

Email: info@benthamscience.net

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