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Stochastic blockmodels with a growing number of classes
We present asymptotic and finite-sample results on the use of stochastic blockmodels for the analysis of network data. We show that the fraction of misclassified network nodes converges in probability to zero under maximum likelihood fitting when the number of classes is allowed to grow as the root...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2012
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3635708/ https://ncbi.nlm.nih.gov/pubmed/23843660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asr053 |
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