Open AccessComputation of reverse degree-based topological indices of hex-derived networks
Author(s) -
Ali N. A. Koam,
Ali Ahmad,
Yasir Ahmad
Publication year - 2021
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2021658
Subject(s) - degree (music) , vertex (graph theory) , computer science , network science , topology (electrical circuits) , computation , topological index , complex network , theoretical computer science , dimension (graph theory) , appropriation , hierarchical network model , discrete mathematics , mathematics , combinatorics , algorithm , graph , physics , linguistics , philosophy , acoustics
Network theory gives an approach to show huge and complex frameworks through a complete arrangement of logical devices. A network is made is made of vertices and edges, where the degree of a vertex refers to the number of joined edges. The degree appropriation of a network represents the likelihood of every vertex having a particular degree and shows significant worldwide network properties. Network theory has applications in many disciplines like basic sciences, computer science, engineering, medical, business, public health and sociology. There are some important networks like logistical networks, gene regulatory networks, metabolic networks, social networks, derived networks. Topological index is a numerical number assigned to the molecular structure/netwrok which is used for correlation analysis in physical, theoretical and environmental chemistry. The hex-derived networks are created by hexagonal networks of dimension $ t $, these networks have an assortment of valuable applications in computer science, medical science and engineering. In this paper we discuss the reverse degree-based topological for third type of hex-derived networks.