Probabilistic Methods in the Study of Topological Indices on Random Spider Trees
Probability
2022-04-25 v1
Abstract
In this paper, we characterize the structure and topological indices of a class of random spider trees (RSTs) such as degree-based Gini index, degree-based Hoover index, generalized Zagreb index and other indices associated with these. We obtain the exact and asymptotic distributions of the number of leaves via probabilistic methods. Moreover, we relate this model to the class of RSTs that evolves in a preferential attachment manner.
Keywords
Cite
@article{arxiv.2204.10840,
title = {Probabilistic Methods in the Study of Topological Indices on Random Spider Trees},
author = {Saylé C. Sigarreta and Saylí M. Sigarreta and Hugo Cruz-Suárez},
journal= {arXiv preprint arXiv:2204.10840},
year = {2022}
}
Comments
14 pages