Before revision:  We provide nonparametric identification results in a single large network setting for the potentially nonparametric homophily effect function, the  unobserved individual fixed effects and the unknown distribution of idiosyncratic pairwise shocks, up to normalization  for each possible true value of the unknown parameters.
After revision:  We provide nonparametric identification results in a single large network setting for the potentially nonparametric homophily effect function, the realizations of unobserved individual fixed effects and the unknown distribution of idiosyncratic pairwise shocks, up to normalization for each possible true value of the unknown parameters.