Mixed Membership Stochastic Blockmodels
Edoardo M Airoldi, David M Blei, Stephen E Fienberg, Eric P Xing
Paper
From BibTeX import
Journal of Machine Learning Research 9, pp. 1981–2014, 2008
Notes
Listed among the established families that fix the node set and randomize edges, with mixed-membership stochastic blockmodels standing in for the broader SBM literature. riva2026intensity groups it with ER, latent position, and RDPG models to motivate the move toward random node populations.
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