Description Usage Arguments Details Value Author(s) References Examples
View source: R/net.cluster.affiliation.R
Generate a cluster-affiliation graph.
1 2 3 4 5 6 7 8 9 | net.cluster.affiliation(
DEG,
community_affiliation_alpha,
community_affiliation_lambda,
community_affiliation_min,
community_size_alpha,
community_size_lambda,
community_size_min
)
|
DEG |
Degree sequence. |
community_affiliation_alpha |
First scaling parameter of the membership distribution. |
community_affiliation_lambda |
Second scaling parameter of the membership distribution. |
community_affiliation_min |
Minimal membership. |
community_size_alpha |
First scaling parameter of the cluster-size distribution. |
community_size_lambda |
Second scaling parameter of the cluster-size distribution. |
community_size_min |
Minimal size of a cluster. |
The generated network has multiple (overlapping) densely-connected clusters.
A list containing the nodes of the network and their respective neighbors.
Xu Dong, Nazrul Shaikh
Dong X, Castro L, Shaikh N (2020). “fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks.” Journal of Statistical Software, 96(7), 1-23. doi:10.18637/jss.v096.i07 (URL: https://doi.org/10.18637/jss.v096.i07)
1 2 3 4 5 6 7 8 9 10 | ## Not run:
DEG <- sample(seq(5,15),100, replace=TRUE)
x <- net.cluster.affiliation(DEG,
community_affiliation_alpha=1.5,
community_affiliation_lambda=10,
community_affiliation_min=1,
community_size_alpha=2.5,
community_size_lambda=40,
community_size_min=3)
## End(Not run)
|
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