| NSBM.Gen {randnet} | R Documentation |
Generates networks from nomination stochastic block model
Description
Generates networks from nomination stochastic block model for community structure in edge nomination procedures, proposed in Li et. al. (2020)
Usage
NSBM.Gen( n, K, avg.d,beta,theta.low=0.1,
theta.p=0.2,lambda.scale=0.2,lambda.exp=FALSE)
Arguments
n |
size of network |
K |
number of communities |
avg.d |
expected average degree of the resuling network (after edge nomination) |
beta |
the out-in ratio of the original SBM |
theta.low |
the lower value of theta's. The theta's are generated as two-point mass at theta.low and 1. |
theta.p |
proportion of lower value of theta's |
lambda.scale |
standard deviation of the lambda (before the exponential, see lambda.exp) |
lambda.exp |
If TRUE, lambda is generated as exponential of uniformation random randomes. Otherwise, they are normally distributed. |
Value
A list of
A |
the generated network adjacency matrix |
g |
community membership |
P |
probability matrix of the orignal SBM network |
P.tilde |
probability matrix of the observed network after nomination |
B |
B parameter |
lambda |
lambda parameter |
theta |
theta parameter |
Author(s)
Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li tianxili@virginia.edu
References
T. Li, E. Levina, and J. Zhu. Community models for networks observed through edge nominations. arXiv preprint arXiv:2008.03652 (2020).
Examples
dt <- NSBM.Gen(n=200,K=2,beta=0.2,avg.d=10)