@Article{cmes.2022.023563,
AUTHOR = {Wenhu Wang, Hibba Arshad, Asfand Fahad, Imran Javaid},
TITLE = {On Some Ev-Degree and Ve-Degree Dependent Indices of Benes Network and Its Derived Classes},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {135},
YEAR = {2023},
NUMBER = {2},
PAGES = {1685--1699},
URL = {http://www.techscience.com/CMES/v135n2/50175},
ISSN = {1526-1506},
ABSTRACT = {One of the most recent developments in the field of graph theory is the analysis of networks such as Butterfly networks, Benes networks, Interconnection networks, and David-derived networks using graph theoretic parameters. The topological indices (<i>TIs</i>) have been widely used as graph invariants among various graph theoretic tools. Quantitative structure activity relationships (QSAR) and quantitative structure property relationships (QSPR) need the use of <i>TIs</i>. Different structure-based parameters, such as the degree and distance of vertices in graphs, contribute to the determination of the values of TIs. Among other recently introduced novelties, the classes of ev-degree and ve-degree dependent TIs have been extensively explored for various graph families. The current research focuses on the development of formulae for different ev-degree and ve-degree dependent TIs for  dimensional Benes network and certain networks derived from it. In the end, a comparison between the values of the TIs for these networks has been presented through graphical tools.},
DOI = {10.32604/cmes.2022.023563}
}