PREFERENTIAL ATTACHMENT WITHOUT VERTEX GROWTH: EMERGENCE OF THE GIANT COMPONENT

被引:4
|
作者
Janson, Svante [1 ]
Warnke, Lutz [2 ]
机构
[1] Uppsala Univ, Dept Math, Uppsala, Sweden
[2] Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
来源
ANNALS OF APPLIED PROBABILITY | 2021年 / 31卷 / 04期
关键词
Random graph; preferential attachment; giant component; phase transition; random graph process; RANDOM GRAPHS; LIMIT-THEOREMS; PERCOLATION; EVOLUTION;
D O I
10.1214/20-AAP1610
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study the following preferential attachment variant of the classical Erd os-Renyi random graph process. Starting with an empty graph on n vertices, new edges are added one-by-one, and each time an edge is chosen with probability roughly proportional to the product of the current degrees of its endpoints (note that the vertex set is fixed). We determine the asymptotic size of the giant component in the supercritical phase, confirming a conjecture of Pittel from 2010. Our proof uses a simple method: we condition on the vertex degrees (of a multigraph variant), and use known results for the configuration model.
引用
收藏
页码:1523 / 1547
页数:25
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