Modified Zagreb Connection Indices for Benes Network and Related Classes

dc.contributor.authorWang, Wenhu
dc.contributor.authorNisar, Asma
dc.contributor.authorFahad, Asfand
dc.contributor.authorQureshi, Muhammad Imran
dc.contributor.authorAlameri, Abdu
dc.date.accessioned2026-06-15T23:15:50Z
dc.date.issued2022
dc.description.abstractThe study of networks such as Butterfly networks, Benes networks, interconnection networks, David-derived networks through graph theoretical parameters is among the modern trends in the area of graph theory. Among these graph theoretical tools, the topological Indices TIs have been frequently used as graph invariants. TIs are also the essential tools for quantitative structure activity relationship (QSAR) as well as quantity structure property relationships (QSPR). TIs depend on different parameters, such as degree and distance of vertices in graphs. The current work is devoted to the derivation of 2-distance based TIs, known as, modified first Zagreb connection index ZC 1 ? and first Zagreb connection index ZC 1 for r ? dimensional Benes network and some classes generated from Benes network. The horizontal cylindrical Benes network HCB r , vertical cylindrical Benes network VCB r , and toroidal Benes network TB r are the three classes generated by identifying the vertices of the first row with the last row, the first column with the last column of the Benes network. The obtained results are also analyzed through graphical tools.en_US
dc.identifier10.1155/2022/8547332
dc.identifier.citationWang, W., Nisar, A., Fahad, A., Qureshi, M. I., & Alameri, A. (2022). Modified Zagreb Connection Indices for Benes Network and Related Classes. Journal of Mathematics, 2022, Article ID 8547332, 8 pages. https://doi.org/10.1155/2022/8547332en_US
dc.identifier.urihttps://repository.ust.edu.ye/handle/123456789/468
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1155/2022/8547332
dc.language.isoen
dc.publisherHindawien_US
dc.titleModified Zagreb Connection Indices for Benes Network and Related Classesen_US
dc.typeArticleen_US

ملفات