Weighted clustering coefficients — net

Per-node clustering coefficients for a weighted (optionally signed) network: Watts-Strogatz, Zhang-Horvath, Onnela, and Barrat. For signed networks the signed variants are also returned (a closed triangle of three negative or one negative edge lowers the signed coefficient). Ported from qgraph::clustcoef_auto.

Usage

net_clustering(x, labels = NULL)

Arguments

x: A psychnet object or a square weighted adjacency matrix.
labels: Optional node labels (used when x is a bare matrix).

Value

A tidy data.frame (class psychnet_clustering), one row per node: node, clustWS, signed_clustWS, clustZhang, signed_clustZhang, clustOnnela, signed_clustOnnela, clustBarrat.

References

Costantini, G., & Perugini, M. (2014); Watts & Strogatz (1998); Zhang & Horvath (2005); Onnela et al. (2005); Barrat et al. (2004).

Examples

S <- 0.4^abs(outer(1:6, 1:6, "-"))
net_clustering(ebic_glasso(cor_matrix = S, n = 400))
#>   node clustWS signed_clustWS clustZhang signed_clustZhang clustOnnela
#> 1   V1       0              0          0                 0           0
#> 2   V2       0              0          0                 0           0
#> 3   V3       0              0          0                 0           0
#> 4   V4       0              0          0                 0           0
#> 5   V5       0              0          0                 0           0
#> 6   V6       0              0          0                 0           0
#>   signed_clustOnnela clustBarrat
#> 1                  0           0
#> 2                  0           0
#> 3                  0           0
#> 4                  0           0
#> 5                  0           0
#> 6                  0           0