A Bayesian latent block model enables multilayer community detection in weighted functional brain networks with automatic community count estimation, validated for consistency on synthetic data and improved reproducibility over modularity on HCP working memory fMRI.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2023 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
A Bayesian latent block model enables multilayer community detection in weighted functional brain networks with automatic community count estimation, validated for consistency on synthetic data and improved reproducibility over modularity on HCP working memory fMRI.