{"title":"Size of the giant component in a random geometric graph","authors":"Ghurumuruhan Ganesan","doi":"10.1214/12-AIHP498","DOIUrl":null,"url":null,"abstract":"In this paper, we study the size of the giant component CG in the random geometric graph G = G(n, rn, f) of n nodes independently distributed each according to a certain density f(.) in [0, 1]2 satisfying infx∈[0,1]2 f(x) > 0. If c1 n ≤ r 2 n ≤ c2 logn n for some positive constants c1, c2 and nr 2 n −→ ∞, we show that the giant component of G contains at least n − o(n) nodes with probability at least 1 − o(1) as n → ∞. We also obtain estimates on the diameter and number of the non-giant components of G.","PeriodicalId":7902,"journal":{"name":"Annales De L Institut Henri Poincare-probabilites Et Statistiques","volume":"48 1","pages":"1130-1140"},"PeriodicalIF":1.2000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annales De L Institut Henri Poincare-probabilites Et Statistiques","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/12-AIHP498","RegionNum":2,"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: 15
Abstract
In this paper, we study the size of the giant component CG in the random geometric graph G = G(n, rn, f) of n nodes independently distributed each according to a certain density f(.) in [0, 1]2 satisfying infx∈[0,1]2 f(x) > 0. If c1 n ≤ r 2 n ≤ c2 logn n for some positive constants c1, c2 and nr 2 n −→ ∞, we show that the giant component of G contains at least n − o(n) nodes with probability at least 1 − o(1) as n → ∞. We also obtain estimates on the diameter and number of the non-giant components of G.
期刊介绍:
The Probability and Statistics section of the Annales de l’Institut Henri Poincaré is an international journal which publishes high quality research papers. The journal deals with all aspects of modern probability theory and mathematical statistics, as well as with their applications.