Performs nonparametric bootstrap on a graph's by resampling its vertices and clustering the results using a list of clustering algorithms.
boot_alg_list(
alg_list = list(Louvain = cluster_louvain, `label prop` = cluster_label_prop, walktrap
= cluster_walktrap),
g,
R = 999,
return_data = FALSE,
type = "global"
)If return_data is set to TRUE, returns a list of objects of
class "boot" (see boot). Otherwise, returns as table
with the mean distances from the clusters in the original graph to the resampled
ones, for each of the algorithms.
List of igraph clustering algorithms
igraph graph object
Number of bootstrap replicates.
Logical. If TRUE, returns a list of "boot" objects
with the full results. Otherwise, returns a table with the mean results.
Can be "global" (Variation of Information, Reduced Mutual Information, and adjusted Rand Index) or "cluster-wise" (Jaccard distance)