BHMC.estimate: Estimates the number of communities under block models by the...

In randnet: Random Network Model Estimation, Selection and Parameter Tuning

Estimates the number of communities under block models by the spectral methods

Description

Estimates the number of communities under block models by using the spectral properties of network Beth-Hessian matrix with moment correction.

Usage

BHMC.estimate(A, K.max = 15)

Arguments

A	adjacency matrix of the network
K.max	the maximum possible number of communities to check

Details

Note that the method cannot distinguish SBM and DCSBM. But it works under either model.

Value

A list of result

K	Estimated K
values	eigenvalues of the Beth-Hessian matrix

Author(s)

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

References

C. M. Le and E. Levina. Estimating the number of communities in networks by spectral methods. arXiv preprint arXiv:1507.00827, 2015.

See Also

LRBIC,ECV.Block, NCV.select

Examples

dt <- BlockModel.Gen(30,300,K=3,beta=0.2,rho=0.9,simple=FALSE,power=TRUE)


A <- dt$A


bhmc <- BHMC.estimate(A,15)

bhmc

randnet documentation built on May 31, 2023, 6:44 p.m.