In this talk we show how the limiting behavior of large networks can be exploited for nonparametric statistical inference. We introduce the notion of a network histogram, obtained by fitting a stochastic blockmodel to a single observation of a network dataset. Blocks of edges play the role of histogram bins, and community sizes that of histogram bandwidths or bin sizes. Working within the...