In network analysis, how to estimate the number of communities K is a fundamental problem. We consider a broad setting where we allow severe degree heterogeneity and a wide range of sparsity le
Background: Network analysis enables the understanding of complex posttraumatic stress disorder (CPTSD) as interconnected symptoms, with Bayesian networks allowing causal inference. However, ex
Temporal exponential-family random graph models (TERGMs) are a flexible class of models for network ties that change over time. Separable TERGMs (STERGMs) are a subclass of TERGMs in which the dynamic
