Analysis of Bridge Graph by Means of K-Banhatti Sombor Invariants

Abaid ur Rehman Virk, Saba Iram
{"title":"Analysis of Bridge Graph by Means of K-Banhatti Sombor Invariants","authors":"Abaid ur Rehman Virk, Saba Iram","doi":"10.32350/sir.64.01","DOIUrl":null,"url":null,"abstract":"Any number that can be uniquely determined by a graph is called a graph invariant. During the last twenty years’ countless mathematical graph invariants have been characterized and utilized for correlation analysis. However, no reliable examination has been embraced to decide, how much these invariants are related with a network graph or molecular graph. In this paper, it will discuss three different variants of bridge networks with good potential of prediction in the field of computer science, mathematics, chemistry, pharmacy, informatics and biology in context with physical and chemical structures and networks, because K-Banhatti Sombor invariants are freshly presented and have numerous prediction qualities for different variants of bridge graphs or networks. These deduced results can be used for the modelling of computer networks like LAN, MAN, WAN, backbone of internet and other networks/structures of computers, power generation, bio-informatics and chemical compound.","PeriodicalId":137307,"journal":{"name":"Scientific Inquiry and Review","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Inquiry and Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32350/sir.64.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Any number that can be uniquely determined by a graph is called a graph invariant. During the last twenty years’ countless mathematical graph invariants have been characterized and utilized for correlation analysis. However, no reliable examination has been embraced to decide, how much these invariants are related with a network graph or molecular graph. In this paper, it will discuss three different variants of bridge networks with good potential of prediction in the field of computer science, mathematics, chemistry, pharmacy, informatics and biology in context with physical and chemical structures and networks, because K-Banhatti Sombor invariants are freshly presented and have numerous prediction qualities for different variants of bridge graphs or networks. These deduced results can be used for the modelling of computer networks like LAN, MAN, WAN, backbone of internet and other networks/structures of computers, power generation, bio-informatics and chemical compound.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用K-Banhatti Sombor不变量分析桥图
任何可以由图唯一确定的数称为图不变量。在过去的二十年中,无数的数学图不变量被描述并用于相关分析。然而,目前还没有可靠的检验方法来确定这些不变量与网络图或分子图的关系。在本文中,它将讨论在物理和化学结构和网络的背景下,在计算机科学、数学、化学、药学、信息学和生物学领域具有良好预测潜力的桥网络的三种不同变体,因为K-Banhatti Sombor不变量是新提出的,并且对桥图或网络的不同变体具有许多预测质量。这些推导结果可用于计算机网络的建模,如局域网,城域网,广域网,互联网骨干和其他计算机网络/结构,发电,生物信息学和化学化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Properties of Graph Based on Divisor-Euler Functions Investigating the Impact of Environmental Toxicology of Heavy Metals in Fish: A Study of Rivers of Pakistan Plant-Extract of Mimusops elengi leaves and Flower-Mediated ZnO Nanoparticles: Synthesis, Characterization, and Biomedical Applications Coefficient Inequalities for Certain Subclass of Starlike Function with respect to Symmetric points related to q-exponential Function Isolation and Identification of Lawsonia Content from the Leaves of Henna (Lawsonia inermis)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1