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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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Hlavní autoři: Choi, D. S., Wolfe, P. J., Airoldi, E. M.
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2012
Témata:
On-line přístup: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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