On Several Properties of A Class of Hybrid Recursive Trees
Panpan Zhang ()
Additional contact information
Panpan Zhang: Vanderbilt University Medical Center
Methodology and Computing in Applied Probability, 2023, vol. 25, issue 1, 1-20
Abstract:
Abstract In this paper, we propose a class of random trees, the evolution of which is an integration of uniform and preferential attachments. Hence, they are called hybrid recursive trees (HRTs). The goal of this paper is to characterize the structure of HRTs. At first, we investigate the degree profile of HRTs by determining the exact and asymptotic mean of the degree of a node with fixed label. Next, we show that the limit distribution of the number of leaves of HRTs is Gaussian, and that the degree distribution follows a power law, suggesting that HRTs are scale-free. At last, we look into the Zagreb index of HRTs, where the first two moments are calculated.
Keywords: Degree distribution; Hybrid recursive trees; Preferential attachment; Scale-free; Uniform attachment; Zagreb index; Primary 05C05; 05C07; Secondary 60J60; 60G17 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11009-023-09988-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:25:y:2023:i:1:d:10.1007_s11009-023-09988-z
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-023-09988-z
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().