Simple network-level measures can tell us a great deal about the shape of a network, e.g., the mean degree, the degree distribution, local or global clustering coefficients, edge reciprocity, mean geodesic distance or diameter, etc. However, these simple measures are not sensitive to how the structural pattern they measure might vary non-uniformly across the network. For example, reciprocity te...