Irregularity Measures of Subdivision Vertex-Edge Join of Graphs
Author(s) -
Jialin Zheng,
Shehnaz Akhter,
Zahid Iqbal,
Muhammad Kashif Shafiq,
Adnan Aslam,
Muhammad Ishaq,
Muhammad Aamir
Publication year - 2021
Publication title -
journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.436
H-Index - 50
eISSN - 2090-9063
pISSN - 2090-9071
DOI - 10.1155/2021/6673221
Subject(s) - cheminformatics , subdivision , quantitative structure–activity relationship , vertex (graph theory) , topological index , substructure , graph , data mining , combinatorics , chemistry , theoretical computer science , computer science , mathematics , machine learning , computational chemistry , archaeology , structural engineering , engineering , history
The study of graphs and networks accomplished by topological measures plays an applicable task to obtain their hidden topologies. This procedure has been greatly used in cheminformatics, bioinformatics, and biomedicine, where estimations based on graph invariants have been made available for effectively communicating with the different challenging tasks. Irregularity measures are mostly used for the characterization of the nonregular graphs. In several applications and problems in various areas of research like material engineering and chemistry, it is helpful to be well-informed about the irregularity of the underline structure. Furthermore, the irregularity indices of graphs are not only suitable for quantitative structure-activity relationship (QSAR) and quantitative structure-property relationship (QSPR) studies but also for a number of chemical and physical properties, including toxicity, enthalpy of vaporization, resistance, boiling and melting points, and entropy. In this article, we compute the irregularity measures including the variance of vertex degrees, the total irregularity index, the σ irregularity index, and the Gini index of a new graph operation.
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