A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging
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Publication:2194484
DOI10.1214/20-AOAS1339zbMath1446.62287arXiv1805.02292OpenAlexW3037394409MaRDI QIDQ2194484
Publication date: 26 August 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1805.02292
community detectionnonnegative matrix factorizationneuroimagingpopulation of networksrandom effects stochastic block model
Applications of statistics to biology and medical sciences; meta analysis (62P10) Factorization of matrices (15A23) Image analysis in multivariate analysis (62H35)
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Uses Software
Cites Work
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- Analysis of multiview legislative networks with structured matrix factorization: does Twitter influence translate to the real world?
- Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
- Analyzing complex functional brain networks: fusing statistics and network science to understand the brain
- Consistent community detection in multi-relational data through restricted multi-layer stochastic blockmodel
- Spectral clustering and the high-dimensional stochastic blockmodel
- Consistency of maximum-likelihood and variational estimators in the stochastic block model
- Spectral and matrix factorization methods for consistent community detection in multi-layer networks
- Consistency of spectral clustering in stochastic block models
- Hypothesis testing for network data in functional neuroimaging
- A convergent algorithm for orthogonal nonnegative matrix factorization
- Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
- Community Detection in Temporal Multilayer Networks, with an Application to Correlation Networks
- The Geometry of Algorithms with Orthogonality Constraints
- Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds
- Clustering of sparse data via network communities—a prototype study of a large online market
- Fast unfolding of communities in large networks
- Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model