Measures the consistency of hubs across layers as the Pearson correlation
of node degrees between layers.
Usage
layer_degree_correlation(layers, mode = c("total", "in", "out"))
ldegcor(layers, mode = c("total", "in", "out"))
Arguments
- layers
List of adjacency matrices of the same dimensions
- mode
Degree type: "total" (default, row plus column sums), "in"
(column sums) or "out" (row sums). The sums use the edge weights, so on
a weighted layer the degree is the node strength.
Value
An L x L Pearson correlation matrix of the layer degree sequences,
with the layer names (or "Layer1", "Layer2", ...) as
dimnames.
Examples
layers <- list(forward = regulation_net, backward = t(regulation_net))
layer_degree_correlation(layers, mode = "total")
#> forward backward
#> forward 1 1
#> backward 1 1
