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Accurately estimate the number of sender and receiver communities in multi-layer directed networks, even when they differ, using a novel goodness-of-fit test.
A simple sample-size adjustment to the largest singular value of a normalized residual matrix provably and practically identifies the correct number of latent classes in ordinal categorical data.
