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Computing the Entropy Measures for the Line Graphs of Some Chemical Networks

  • Muhammad Farhan Hanif
  • , Hasan Mahmood
  • , Shazia Manzoor
  • , Fikre Bogale Petros*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Chemical Graph entropy plays a significant role to measure the complexity of chemical structures. It has explicit chemical uses in chemistry, biology, and information sciences. A molecular structure of a compound consists of many atoms. Especially, the hydrocarbons is a chemical compound that consists of carbon and hydrogen atoms. In this article, we discussed the concept of subdivision of chemical graphs and their corresponding line chemical graphs. More preciously, we discuss the properties of chemical graph entropies and then constructed the chemical structures namely triangular benzenoid, hexagonal parallelogram, and zigzag edge coronoid fused with starphene. Also, we estimated the degree-based entropies with the help of line graphs of the subdivision of above mentioned chemical graphs.

Original languageEnglish
Article number2006574
JournalComputational Intelligence and Neuroscience
Volume2022
DOIs
StatePublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Muhammad Farhan Hanif et al.

ASJC Scopus subject areas

  • General Computer Science
  • General Neuroscience
  • General Mathematics

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