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arXiv 1712.03319math.PR
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关于一类一般的非齐次随机有向图

On a general class of inhomogeneous random digraphs

Junyu Cao, Mariana Olvera-Cravioto

摘要:

我们研究了一个家庭的有向随机图的弧采样彼此独立,并存在于图中的概率取决于所涉及的顶点的属性。特别是,这一系列的模型包括作为特殊情况的有向版本的埃尔多斯-雷尼模型,图与给定的预期程度,广义随机图,和泊松随机图。我们建立了巨强连通分支存在的相变,并给出了一些其他的基本性质,包括度的极限联合分布和弧的平均数.特别是,我们表明,通过选择的联合分布的顶点属性根据一个多元的定期变化的分布,可以得到无标度图与任意的度/度依赖。

英文摘要:

We study a family of directed random graphs whose arcs are sampled independently of each other, and are present in the graph with a probability that depends on the attributes of the vertices involved. In particular, this family of models includes as special cases the directed versions of the Erdos-Renyi model, graphs with given expected degrees, the generalized random graph, and the Poissonian random graph. We establish the phase transition for the existence of a giant strongly connected component and provide some other basic properties, including the limiting joint distribution of the degrees and the mean number of arcs. In particular, we show that by choosing the joint distribution of the vertex attributes according to a multivariate regularly varying distribution, one can obtain scale-free graphs with arbitrary in-degree/out-degree dependence.

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