Model-based clustering for populations of networks

DOI10.1177/1471082X19871128OpenAlexW3100157685MaRDI QIDQ3386450

Mirko Signorelli, Ernst C. Wit

Publication date: 4 January 2021

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.00225

zbMATH Keywords

graphEM algorithmmodel-based clusteringnetwork modellingpopulation of networkscognitive social structuremixture of generalized linear models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Finite mixtures of ERGMs for modeling ensembles of networks ⋮ Model-based clustering of multiple networks with a hierarchical algorithm ⋮ Modelling heterogeneity in Latent Space Models for Multidimensional Networks

Uses Software

• glasso

Cites Work

• Unnamed Item
• Unnamed Item
• Sparse inverse covariance estimation with the graphical lasso
• Consistent community detection in multi-relational data through restricted multi-layer stochastic blockmodel
• Clustering rules: A comparison of partitioning and hierarchical clustering algorithms
• Estimation and prediction for stochastic blockmodels for graphs with latent block structure
• Discrete temporal models of social networks
• Introduction to Information Retrieval
• Markov Graphs
• An Exponential Family of Probability Distributions for Directed Graphs
• Latent Space Approaches to Social Network Analysis
• Approximate Inference in Generalized Linear Mixed Models
• Stochastic Blockmodels for Directed Graphs
• p₂: a random effects model with covariates for directed graphs
• The Effective Sample Size
• A computationally fast alternative to cross-validation in penalized Gaussian graphical models
• Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model
• Latent Space Models for Dynamic Networks

This page was built for publication: Model-based clustering for populations of networks