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

Jia‐Bao Liu, Qing Xie, Jiao‐Jiao Gu

2023Journal of Function Spaces16 citationsDOIOpen Access PDF

Abstract

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 <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mtext>PE</a:mtext> <a:msub> <a:mrow> <a:mtext>C</a:mtext> </a:mrow> <a:mrow> <a:mi>n</a:mi> </a:mrow> </a:msub> </a:math> with the help of graph theory. Based on the networks <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" id="M2"> <c:mtext>PE</c:mtext> <c:msub> <c:mrow> <c:mtext>C</c:mtext> </c:mrow> <c:mrow> <c:mi>n</c:mi> </c:mrow> </c:msub> </c:math> , 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.

Topics & Concepts

Class (philosophy)Topology (electrical circuits)MathematicsChain (unit)Statistical physicsComputer scienceCombinatoricsPhysicsArtificial intelligenceAstronomyGraph theory and applicationsTopological and Geometric Data AnalysisAdvanced Graph Theory Research
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