Manuscript Title:

EXTENDABLE BANHATTI SOMBOR INDICES FOR MODELING CERTAIN COMPUTER NETWORKS

Author:

KHALID HAMID, HAFIZ ABDUL BASIT MUHAMMAD, MUHAMMAD WASEEM IQBAL, M AMEER HAMZA, SALMAN UBAID BHATTI, SYED AMMAR HASSAN, ATIF IKRAM

DOI Number:

DOI:10.17605/OSF.IO/U9P3B

Published : 2022-11-10

About the author(s)

1. KHALID HAMID - PhD Scholar, Department of Computer Science, Superior University, Lahore, Pakistan and Lecturer at NCBA & E University East Canal Campus Lahore.
2. HAFIZ ABDUL BASIT MUHAMMAD - PhD Scholar, Department of Computer Science, Superior University, Lahore, Pakistan and Lecturer at Minhaj University Lahore.
3. MUHAMMAD WASEEM IQBAL - PhD, Assistant Professor Department of Software Engineering, Superior University, Lahore, Pakistan. 4. M AMEER HAMZA - PhD Scholar, Department of Computer Science, Superior University, Lahore, Pakistan and Lecturer at Superior University Lahore.
5. SALMAN UBAID BHATTI - MPhil, Lecturer at Department of Computer Science, SABAQ College Lahore, Pakistan.
6. SYED AMMAR HASSAN - MPhil Scholar, Department of Computer Science, Minhaj University Lahore, Pakistan.
7. ATIF IKRAM - PhD, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia & Department of Computer Science & Information Technology, The University of Lahore, Lahore 54000, Pakistan.

Full Text : PDF

Abstract

Most networks involved in different fields are not of a single type, but rather a combination of two or more networks. These types of networks are called bridge networks which are used in interconnection networks of PC, mobile networks, the spine of the internet, networks involved in robotics, power generation interconnection, bio-informatics and chemical compound structures. Any number that can be uniquely determined by a graph is called graph invariants. During the recent two decades' innumerable numerical graph invariants have been described and used for correlation analysis. Till now no dependable assessment has been embraced to choose, how much these invariants are connected with a network graph or molecular graph. In this paper, it will talk about three distinct variations of bridge networks with great capability of expectation in the field of computer science, chemistry, physics, drug industry, informatics and mathematics in setting with physical and synthetic constructions and networks, since Banhatti Sombor (BSO) invariants are newly introduced and have various forecast characteristics for various variations of bridge graphs or networks. The review settled the topology of bridge graph/networks of three unique sorts with two types of BSO indices. These concluded outcomes can be utilized for the modeling of the above-mentioned networks.


Keywords

Bridge networks; invariants; Banhatti Sombor indices; maple; network graph; molecular graph.