The Degree Distribution and the Number of Edges Between Nodes of given Degrees in Directed Scale-Free Graphs

Q3 Mathematics
E. Grechnikov
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引用次数: 2

Abstract

In this article, we introduce our study of some important statistics of the random graph in the directed preferential attachment model introduced by B. Bollobás, C. Borgs, J. Chayes, and O. Riordan. First, we find a new asymptotic formula for the expectation of the number nin(t, d) of nodes of a given in-degree d in a graph in this model with t edges, which covers all possible degrees. The out-degree distribution in the model is symmetrical to the in-degree distribution. Then we prove tight concentration for nin(t, d) while d grows up to the moment when nin(t, d) decreases to ln 2t; if d grows even faster, nin(t, d) is zero whp. Furthermore, we study an average number of edges from a vertex of out-degree d1 to a vertex of in-degree d2. In particular, we prove that it grows proportionally to d1d2/t if and to something between and if , tending to the first expression when d1 is small compared to d2 and to the second one when d1 is large; is such that the main term of nin(t, d) is proportional to , is symmetrical for out-degrees. We also give exact formulas for intermediate cases.
有向无标度图中给定度节点间的度分布和边数
本文介绍了B. Bollobás、C. Borgs、J. Chayes和O. Riordan等人提出的定向优先依恋模型中随机图的一些重要统计量的研究。首先,我们找到了一个新的渐近公式,用于该模型中具有t条边的图中给定的in度d的节点数nin(t, d)的期望,该模型涵盖了所有可能的度。模型的出度分布与入度分布是对称的。然后证明了随着d的增大,nin(t, d)的浓度较紧,直至nin(t, d)减小到ln 2t;如果d增长得更快,n(t, d)等于0 whp。进一步地,我们研究了从出次为d1的顶点到入次为d2的顶点的平均边数。特别地,我们证明了它与d1 /t成比例地增长,当d1比d2小时趋向于第一个表达式当d1比d2大时趋向于第二个表达式;使得nin(t, d)的主项正比于,对于外度是对称的。我们也给出了中间情况的精确公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Internet Mathematics
Internet Mathematics Mathematics-Applied Mathematics
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