Method evidence record

Bayesian Community Detection

Bayesian community detection infers latent group structure in networks by treating community membership as unobserved variables and using Bayesian inference — typically via Markov chain Monte Carlo or variational methods — to compute a posterior distribution over all plausible partitions. Unlike modularity optimisation, it selects the number of communities from data and provides principled uncertainty estimates for every node assignment.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.