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The size n, as a function of the average degree μ, above which a naive χ2 test commits a type I error with 95% confidence. Type I error means incorrectly rejecting the ordinary stochastic block model for graphs that are actually generated by it. Here we assume the asymptotic analysis of (14)–(17) for the mean and variance of the likelihood ratio.
