Mixed membership stochastic blockmodels for heterogeneous networks
DOI10.1214/19-BA1163zbMath1459.62095OpenAlexW2952962974WikidataQ127639584 ScholiaQ127639584MaRDI QIDQ2226704
Yuguo Chen, Yan Liu, Weihong Huang
Publication date: 9 February 2021
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ba/1560909813
clusteringvariational algorithmcommunity detectionheterogeneous networkstochastic blockmodelmixed membership model
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Applications of statistics to social sciences (62P25) Probabilistic graphical models (62H22)
Related Items (1)
Cites Work
- Consistency of community detection in networks under degree-corrected stochastic block models
- Spectral clustering in heterogeneous networks
- Mixed membership stochastic blockmodels
- Graphical Models, Exponential Families, and Variational Inference
- Estimation and Prediction for Stochastic Blockstructures
- Latent Space Approaches to Social Network Analysis
- Modularity Based Community Detection in Heterogeneous Networks
- A Survey of Statistical Network Models
- Overlapping community detection in networks
This page was built for publication: Mixed membership stochastic blockmodels for heterogeneous networks