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Assortativity and clustering of sparse random intersection graphs

机译:稀疏随机相交图的分类性和聚类

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We consider sparse random intersection graphs with the property that the clustering coefficient does not vanish as the number of nodes tends to infinity.?We find explicit asymptotic expressions for the correlation coefficient of degrees of adjacent nodes (called the assortativity coefficient), the expected number of common neighbours of adjacent nodes, and the expected degree of a neighbour of a node of a given degree k. These expressions are written in terms of the asymptotic degree distribution and, alternatively, in terms of the parameters defining the underlying random graph model.
机译:我们考虑稀疏的随机相交图,其特征是聚类系数不会随着节点数趋于无穷大而消失。相邻节点的公共邻居的数量和给定度数k的节点的期望程度。这些表达式是根据渐近度分布以及可选地根据定义基本随机图模型的参数来编写的。

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