Pairwise Layer Similarities

Computes similarity matrix for all pairs of layers.

Usage

layer_similarity_matrix(
  layers,
  method = c("jaccard", "overlap", "cosine", "pearson")
)

lsim_matrix(layers, method = c("jaccard", "overlap", "cosine", "pearson"))

Arguments

layers

Named list of adjacency matrices (one per layer); at least two are required.

method

Comparison method: "jaccard" (default), "overlap", "cosine" or "pearson". Note that "hamming", accepted by layer_similarity, is not available here because it is a distance rather than a similarity.

Value

A symmetric L x L matrix of pairwise similarities with the layer names as dimnames and 1 on the diagonal.

Examples

nodes <- c("A", "B", "C")
t1 <- matrix(c(0, 1, 0, 1, 0, 1, 0, 1, 0), 3, 3, dimnames = list(nodes, nodes))
t2 <- matrix(c(0, 1, 1, 1, 0, 0, 1, 0, 0), 3, 3, dimnames = list(nodes, nodes))
layers <- list(T1 = t1, T2 = t2)

layer_similarity_matrix(layers, "cosine")
#>     T1  T2
#> T1 1.0 0.5
#> T2 0.5 1.0
layer_similarity_matrix(layers, "jaccard")
#>           T1        T2
#> T1 1.0000000 0.3333333
#> T2 0.3333333 1.0000000