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arXiv 1206.4586math.COcond-mat.dis-nn
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增长随机图序列的图极限的一个例子

An example of graph limits of growing sequences of random graphs

Svante Janson, Simone Severini

摘要:

我们考虑一类生长的随机图,通过依次逐个创建顶点得到:在每一步中,我们均匀地选择新创建的顶点的邻居;它的度是一个随机变量,具有固定但任意的分布,取决于现有顶点的数量。从这个类的例子原来是ER随机图,一个自然的随机阈值图等工作的概念,图的限制,我们定义了一个内核,在一定条件下,是限制的增长随机图。此外,对于模型的子类,任何给定的n个顶点上的生长图具有与核定义的具有n个顶点的随机图相同的分布。的动机源于一个模型的图形增长的附件机制不需要在每次迭代的图形属性的信息。

英文摘要:

We consider a class of growing random graphs obtained by creating vertices sequentially one by one: at each step, we choose uniformly the neighbours of the newly created vertex; its degree is a random variable with a fixed but arbitrary distribution, depending on the number of existing vertices. Examples from this class turn out to be the ER random graph, a natural random threshold graph, etc. By working with the notion of graph limits, we define a kernel which, under certain conditions, is the limit of the growing random graph. Moreover, for a subclass of models, the growing graph on any given n vertices has the same distribution as the random graph with n vertices that the kernel defines. The motivation stems from a model of graph growth whose attachment mechanism does not require information about properties of the graph at each iteration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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