SBM.estimate {randnet}

estimates SBM parameters given community labels

Description

estimates SBM parameters given community labels

Usage

SBM.estimate(A, g)

Arguments

A

adjacency matrix

g

a vector of community labels

Details

maximum likelhood is used

Value

a list of

B

estimated block connection probability matrix

Phat

estimated probability matrix

g

community labels

Author(s)

Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li [e-mail]

References

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

See Also

DCSBM.estimate

Examples

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