randnet: SBM.estimate – R documentation

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SBM.estimate

estimates SBM parameters given community labels

estimates SBM parameters given community labels

SBM.estimate(A, g)

`A`	adjacency matrix
`g`	a vector of community labels

maximum likelhood is used

a list of

`B`	estimated block connection probability matrix
`Phat`	estimated probability matrix
`g`	community labels

Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li tianxili@umich.edu

B. Karrer and M. E. Newman. Stochastic blockmodels and community structure in networks. Physical Review E, 83(1):016107, 2011.

dt <- BlockModel.Gen(30,300,K=3,beta=0.2,rho=0)


A <- dt$A


sc <- reg.SP(A,K=3,lap=TRUE)
sbm <- SBM.estimate(A,sc$cluster)
sbm$B

Random Network Model Selection and Parameter Tuning

v0.2

GPL (>= 2)

Authors

Tianxi Li, Elizaveta Levina, Ji Zhu

Initial release

2019-02-10