symmetry
S S
Article
Study of θ
φ
Networks via Zagreb Connection Indices
Muhammad Asif
1
, Bartlomiej Kizielewicz
2
, Atiq ur Rehman
1
, Muhammad Hussain
1
and Wojciech Salabun
2,
*
Citation: Asif, M.; Kizielewicz, B.;
Rehman, A.u.; Hussain, M.; Salabun,
W. Study of θ
φ
Networks via Zagreb
Connection Indices. Symmetry 2021,
13, 1991. https://doi.org/10.3390/
sym13111991
Academic Editor: Serge Lawrencenko
Received: 19 August 2021
Accepted: 8 October 2021
Published: 21 October 2021
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1
Department of Mathematics, COMSATS University Islamabad (Lahore Campus), Lahore 53713, Pakistan;
sp18-pmt-001@cuilahore.edu.pk (M.A.); atiqurehman@cuilahore.edu.pk (A.u.R.);
muhammad.hussain@cuilahore.edu.pk (M.H.)
2
Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence and Applied
Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of
Technology in Szczecin, ul.
˙
Zolnierska 49, 71-210 Szczecin, Poland; bartlomiej-kizielewicz@zut.edu.pl
* Correspondence: wojciech.salabun@zut.edu.pl; Tel.: +48-91-449-5580
Abstract: Graph theory can be used to optimize interconnection network systems. The compatibility
of such networks mainly depends on their topology. Topological indices may characterize the
topology of such networks. In this work, we studied a symmetric network θ
φ
formed by φ time
repetition of the process of joining θ copies of a selected graph Ω in such a way that corresponding
vertices of Ω in all the copies are joined with each other by a new edge. The symmetry of θ
φ
is
ensured by the involvement of complete graph K
θ
in the construction process. The free hand to
choose an initial graph Ω and formation of chemical graphs using θ
φ
Ω enhance its importance as a
family of graphs which covers all the pre-defined graphs, along with space for new graphs, possibly
formed in this way. We used Zagreb connection indices for the characterization of θ
φ
Ω. These indices
have gained worth in the field of chemical graph theory in very small duration due to their predictive
power for enthalpy, entropy, and acentric factor. These computations are mathematically novel and
assist in topological characterization of θ
φ
Ω to enable its emerging use.
Keywords: Zagreb connection indices; graph invariants; interconnection networks; mk graphs;
topological index
1. Introduction
Graph theory provides a fundamental tool for designing and analyzing desired net-
works with accuracy and gives a thorough understanding of the manners by which the
parts of a system interconnected through topology of an interconnection network [1].
Along with the other disciplines, graph theory has a special place in the field of chemistry,
especially in chemical graph theory [2]. Thus, chemical graph theory is a composition of
chemistry, computer science, and graph theory [3–5]. It provides information about organic
substances regarding their physicochemical properties with the help of graph invariants
using chemical graphs associated with their molecular structure. A chemical graph is a
simple connected and hydrogen depleted graph consisting of vertices replacing atoms
and edges for the bonds between atoms. A simple graph is comprised of only a single
edge between two vertices and no self-loop (an edge with the same initial and final vertex).
Graph invariants have strong applications in quantitative structure properties relation-
ship (QSPR) investigation [6]. These invariants reduce the practical work to some extent
to study the new chemicals structures using the topology of desired chemical structure.
Topological indices are also the graph invariants that map chemical graphs into a numeric
value and characterize the underlying structure’s topology. Harry Wiener, in 1947, first
introduced Wiener index [7]. Later on, the first and second Zagreb indices were proposed
in Reference [8,9] as
Symmetry 2021, 13, 1991. https://doi.org/10.3390/sym13111991 https://www.mdpi.com/journal/symmetry