fast_sbm: Sample from a SBM (fast)
In aaamini/nett: Network Analysis and Community Detection
fast_sbm R Documentation
Sample from a SBM (fast)
Description
Samples an adjacency matrix from a stochastic block model (SBM)
Usage
fast_sbm(z, B)
Arguments
z
Node labels (n * 1)
B
Connectivity matrix (K * K)
Details
The function implements a fast algorithm for sampling sparse SBMs, by only
sampling the necessary nonzero entries. This function is adapted almost
verbatim from the original code by Aiyou Chen.
Value
An adjacency matrix following SBM
Examples
B = pp_conn(n = 10^4, oir = 0.1, lambda = 7, pri = rep(1,3))$B
head(fast_sbm(sample(1:3, 10^4, replace = TRUE), B))
aaamini/nett documentation built on Nov. 12, 2022, 6:25 p.m.
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| fast_sbm | R Documentation |
Sample from a SBM (fast)
Description
Samples an adjacency matrix from a stochastic block model (SBM)
Usage
fast_sbm(z, B)
Arguments
z |
Node labels (n * 1) |
B |
Connectivity matrix (K * K) |
Details
The function implements a fast algorithm for sampling sparse SBMs, by only sampling the necessary nonzero entries. This function is adapted almost verbatim from the original code by Aiyou Chen.
Value
An adjacency matrix following SBM
Examples
B = pp_conn(n = 10^4, oir = 0.1, lambda = 7, pri = rep(1,3))$B head(fast_sbm(sample(1:3, 10^4, replace = TRUE), B))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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