Use this if you are using igraph from R
Sampling from a hierarchical stochastic block model of networks.
sample_hierarchical_sbm(n, m, rho, C, p) hierarchical_sbm(...)
n |
Integer scalar, the number of vertices. |
m |
Integer scalar, the number of vertices per block. |
rho |
Numeric vector, the fraction of vertices per cluster, within a
block. Must sum up to 1, and |
C |
A square, symmetric numeric matrix, the Bernoulli rates for the
clusters within a block. Its size must mach the size of the |
p |
Numeric scalar, the Bernoulli rate of connections between vertices in different blocks. |
... |
Passed to |
The function generates a random graph according to the hierarchical stochastic block model.
An igraph graph.
Gabor Csardi csardi.gabor@gmail.com
## Ten blocks with three clusters each C <- matrix(c(1 , 3/4, 0, 3/4, 0, 3/4, 0 , 3/4, 3/4), nrow=3) g <- sample_hierarchical_sbm(100, 10, rho=c(3, 3, 4)/10, C=C, p=1/20) g if (require(Matrix)) { image(g[]) }