Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Covariate-augmented spectral clustering for heterogeneous networks with misclustering bounds under a contextualized stochastic blockmodel, applied to UNGA voting data.
citing papers explorer
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Ordering Stochastic Block Models via prior transitivity
Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
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Understanding Geopolitical Alignments Through Covariate Augmented Spectral Clustering of Heterogeneous UNGA Voting Data
Covariate-augmented spectral clustering for heterogeneous networks with misclustering bounds under a contextualized stochastic blockmodel, applied to UNGA voting data.