Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties

There has been an upsurge of research on complex networks in recent years. The purpose of this paper is to study the mathematical properties of the random pentagonal chain networks PECn with the help of graph theory. Based on the networks PECn, we first obtain the expected value expressions of the G...

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Main Authors: Jia-Bao Liu, Qing Xie, Jiao-Jiao Gu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2023/6675966
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author Jia-Bao Liu
Qing Xie
Jiao-Jiao Gu
author_facet Jia-Bao Liu
Qing Xie
Jiao-Jiao Gu
author_sort Jia-Bao Liu
collection DOAJ
description There has been an upsurge of research on complex networks in recent years. The purpose of this paper is to study the mathematical properties of the random pentagonal chain networks PECn with the help of graph theory. Based on the networks PECn, we first obtain the expected value expressions of the Gutman index, Schultz index, multiplicative degree-Kirchhoff index, and additive degree-Kirchhoff index, and then, we get the explicit expression formulas of their variances. Finally, we find that their limiting distributions all have the probabilistic and statistical significance of normal distribution.
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institution Kabale University
issn 2314-8888
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publishDate 2023-01-01
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series Journal of Function Spaces
spelling doaj-art-c15a42e70faa41af9112836c342b1cf82025-02-03T06:47:30ZengWileyJournal of Function Spaces2314-88882023-01-01202310.1155/2023/6675966Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological PropertiesJia-Bao Liu0Qing Xie1Jiao-Jiao Gu2School of Mathematics and PhysicsSchool of Mathematics and PhysicsSchool of Mathematics and PhysicsThere has been an upsurge of research on complex networks in recent years. The purpose of this paper is to study the mathematical properties of the random pentagonal chain networks PECn with the help of graph theory. Based on the networks PECn, we first obtain the expected value expressions of the Gutman index, Schultz index, multiplicative degree-Kirchhoff index, and additive degree-Kirchhoff index, and then, we get the explicit expression formulas of their variances. Finally, we find that their limiting distributions all have the probabilistic and statistical significance of normal distribution.http://dx.doi.org/10.1155/2023/6675966
spellingShingle Jia-Bao Liu
Qing Xie
Jiao-Jiao Gu
Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties
Journal of Function Spaces
title Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties
title_full Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties
title_fullStr Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties
title_full_unstemmed Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties
title_short Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties
title_sort statistical analyses of a class of random pentagonal chain networks with respect to several topological properties
url http://dx.doi.org/10.1155/2023/6675966
work_keys_str_mv AT jiabaoliu statisticalanalysesofaclassofrandompentagonalchainnetworkswithrespecttoseveraltopologicalproperties
AT qingxie statisticalanalysesofaclassofrandompentagonalchainnetworkswithrespecttoseveraltopologicalproperties
AT jiaojiaogu statisticalanalysesofaclassofrandompentagonalchainnetworkswithrespecttoseveraltopologicalproperties