A note on kernel density estimation for undirected dyadic data

In this note, I show that the √N convergence to the normal distribution holds for the density of outcomes generated from a dyadic network using the seminal result in the U-statistic literature obtained by Frees. In particular, our derivations imply that the main result for the non degenerate case in Graham, Niu, and Powell follows from arguments in Frees.