COVID-19 Infection Structure Analysis Based on Minimum Spanning Tree Visualization in the Kingdom of Saudi Arabia Regions

Alsulami, Samirah; Bayati, Jalal Hatem Hussein

doi:10.1155/2022/1726286

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…The degree of branches in the molecular carbon-atom skeleton is reflected through these topological indices. We suggest referring to [13] , [14] , [15] , [16] , [17] for details on the historical context, numerical findings, and statistical characteristics of Zagreb indices.…”

Section: Some Basic Definitionsmentioning

confidence: 99%

On quantitative structure-property relationship (QSPR) analysis of physicochemical properties and anti-hepatitis prescription drugs using a linear regression model

Mahboob,

Rasheed,

Dhiaa

et al. 2024

Heliyon

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Section: Some Basic Definitionsmentioning

confidence: 99%

On quantitative structure-property relationship (QSPR) analysis of physicochemical properties and anti-hepatitis prescription drugs using a linear regression model

Mahboob,

Rasheed,

Dhiaa

et al. 2024

Heliyon

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“…A large number of articles are present on the topological Open Access indices of the different isomers of SiC 32- 35 . Graph theory defines broad and advanced ideas to facilitate the understanding of many problems in different fields [36][37][38][39] .…”

Section:  First and Second Zagreb Polynomialsmentioning

confidence: 99%

Bi-Distance Approach to Determine the Topological Invariants of Silicon Carbide

et al. 2023

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The use of silicon carbide is increasing significantly in the fields of research and technology. Topological indices enable data gathering on algebraic graphs and provide a mathematical framework for analyzing the chemical structural characteristics. In this paper, well-known degree-based topological indices are used to analyze the chemical structures of silicon carbides. To evaluate the features of various chemical or non-chemical networks, a variety of topological indices are defined. In this paper, a new concept related to the degree of the graph called "bi-distance" is introduced, which is used to calculate all the additive as well as multiplicative degree-based indices for the isomer of silicon carbide, Si2C3-1[t, h]. The term "bi-distance" is derived from the concepts of degree and distance in such a way that second distance can be used to calculate degree-based topological indices.

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“…Revan indices have good correlation with not only the general mathematical graphs but also with the chemical graphs [23][24][25][26] . For more information related to graph theory see 27,28 .…”

Section: Fundamental Definitionsmentioning

confidence: 99%

Computation of Several Banhatti and Reven Invariants of Silicon Carbides

2023

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Expressions for the molecular topological features of silicon carbide compounds are essential for quantitative structure-property and structure-activity interactions. Chemical Graph Theory is a subfield of computational chemistry that investigates topological indices of molecular networks that correlate well with the chemical characteristics of chemical compounds. In the modern age, topological indices are extremely important in the study of graph theory. Topological indices are critical tools for understanding the core topology of chemical structures while examining chemical substances. In this article, compute the first and second k-Banhatti index, modified first and second k-Banhatti index, first and second k-hyper Banhatti index, first and second hyper Revan indices, first Revan vertex index, and third Revan index for Silicon Carbide SiC4-II [p, q] for all values of p and q

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COVID-19 Infection Structure Analysis Based on Minimum Spanning Tree Visualization in the Kingdom of Saudi Arabia Regions

Cited by 4 publications

References 13 publications

On quantitative structure-property relationship (QSPR) analysis of physicochemical properties and anti-hepatitis prescription drugs using a linear regression model

On quantitative structure-property relationship (QSPR) analysis of physicochemical properties and anti-hepatitis prescription drugs using a linear regression model

Bi-Distance Approach to Determine the Topological Invariants of Silicon Carbide

Computation of Several Banhatti and Reven Invariants of Silicon Carbides

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