Spectral rejection for testing hypotheses of structure in networks

15 Jan 2019Mark D. HumphriesJavier A. CaballeroMat EvansSilvia MaggiAbhinav Singh

Discovering structure in real-world networks requires a suitable null model that defines the absence of meaningful structure. Here we introduce a spectral approach for testing structural hypotheses at both network and node levels, by using generative models to estimate the eigenvalue distribution under a specified null model... (read more)

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