June 11, 2024, 4:44 a.m. | Yucheng Liu, Xiaodong Li

stat.ML updates on arXiv.org arxiv.org

arXiv:2406.05340v1 Announce Type: cross
Abstract: We investigate how to select the number of communities for weighted networks without a full likelihood modeling. First, we propose a novel weighted degree-corrected stochastic block model (DCSBM), in which the mean adjacency matrix is modeled as the same as in standard DCSBM, while the variance profile matrix is assumed to be related to the mean adjacency matrix through a given variance function. Our method of selection the number of communities is based on a …

abstract arxiv block communities likelihood matrix mean modeling networks novel standard stat.me stat.ml stochastic type while

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