Shortest paths and load scaling in scale-free trees -: art. no. 036114

被引:20
作者
Bollobás, B
Riordan, O
机构
[1] Univ Memphis, Dept Math Sci, Memphis, TN 38152 USA
[2] Univ Cambridge Trinity Coll, Cambridge CB2 1TQ, England
[3] Univ Cambridge, Dept Pure Math & Math Stat, Cambridge CB2 1SB, England
关键词
D O I
10.1103/PhysRevE.69.036114
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Szabo, Alava, and Kertesz [Phys. Rev. E 66, 026101 (2002)] considered two questions about the scale-free random tree given by the m=1 case of the Barabasi-Albert (BA) model (identical with a random tree model introduced by Szymanski in 1987): what is the distribution of the node to node distances, and what is the distribution of node loads, where the load on a node is the number of shortest paths passing through it? They gave heuristic answers to these questions using a "mean-field" approximation, replacing the random tree by a certain fixed tree with carefully chosen branching ratios. By making use of our earlier results on scale-free random graphs, we shall analyze the random tree rigorously, obtaining and proving very precise answers to these questions. We shall show that, after dividing by N (the number of nodes), the load distribution converges to an integer distribution X with Pr(X=c)=2/[(2c+1)(2c+3)], c=0,1,2,..., confirming the asymptotic power law with exponent -2 predicted by Szabo, Alava, and Kertesz. For the distribution of node-node distances, we show asymptotic normality, and give a precise form for the (far from normal) large deviation law. We note that the mean-field methods used by Szabo, Alava, and Kertesz give very good results for this model.
引用
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页码:036114 / 1
页数:7
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