Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm
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Publication:5867478
DOI10.1080/03610918.2020.1743858OpenAlexW2983489913MaRDI QIDQ5867478
Abir El Haj, Yousri Slaoui, Pierre-Yves Louis, Zaher Khraibani
Publication date: 14 September 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1743858
clusteringtext miningvariational inferenceweighted networksbinomial stochastic blockmodelPoisson stochastic blockmodel
Uses Software
Cites Work
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- Detecting communities and their evolutions in dynamic social networks -- a Bayesian approach
- Overlapping stochastic block models with application to the French political blogosphere
- Uncovering latent structure in valued graphs: a variational approach
- Estimation and prediction for stochastic blockmodels for graphs with latent block structure
- Consistency of maximum-likelihood and variational estimators in the stochastic block model
- An introduction to variational methods for graphical models
- The dynamic random subgraph model for the clustering of evolving networks
- The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul
- Mixed membership stochastic blockmodels
- Communities in Networks
- Estimation and Prediction for Stochastic Blockstructures
- Learning latent block structure in weighted networks
- Finding groups with a simple genetic algorithm*
- A Survey of Statistical Network Models
- Variational Bayesian inference and complexity control for stochastic block models
- Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model
- A goodness-of-fit test for stochastic block models
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