{"title":"Vertices of high degree in the preferential attachment tree","authors":"G. Brightwell, M. Luczak","doi":"10.1214/EJP.V17-1803","DOIUrl":null,"url":null,"abstract":"We study the basic preferential attachment process, which generates a sequence of random trees, each obtained from the previous one by introducing a new vertex and joining it to one existing vertex, chosen with probability proportional to its degree. We investigate the number $D_t(\\ell)$ of vertices of each degree $\\ell$ at each time $t$, focussing particularly on the case where $\\ell$ is a growing function of $t$. We show that $D_t(\\ell)$ is concentrated around its mean, which is approximately $4t/\\ell^3$, for all $\\ell \\le (t/\\log t)^{-1/3}$; this is best possible up to a logarithmic factor.","PeriodicalId":50538,"journal":{"name":"Electronic Journal of Probability","volume":"26 1","pages":"1-43"},"PeriodicalIF":1.1000,"publicationDate":"2010-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1214/EJP.V17-1803","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/EJP.V17-1803","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 14
Abstract
We study the basic preferential attachment process, which generates a sequence of random trees, each obtained from the previous one by introducing a new vertex and joining it to one existing vertex, chosen with probability proportional to its degree. We investigate the number $D_t(\ell)$ of vertices of each degree $\ell$ at each time $t$, focussing particularly on the case where $\ell$ is a growing function of $t$. We show that $D_t(\ell)$ is concentrated around its mean, which is approximately $4t/\ell^3$, for all $\ell \le (t/\log t)^{-1/3}$; this is best possible up to a logarithmic factor.
期刊介绍:
The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory.
Both ECP and EJP are official journals of the Institute of Mathematical Statistics
and the Bernoulli society.