R/cluster-metrics.R
layer_similarity.Rd
Computes similarity between two network layers.
layer_similarity( A1, A2, method = c("jaccard", "overlap", "hamming", "cosine", "pearson") ) lsim(A1, A2, method = c("jaccard", "overlap", "hamming", "cosine", "pearson"))
First adjacency matrix
Second adjacency matrix
Similarity method: "jaccard", "overlap", "hamming", "cosine", "pearson"
Numeric similarity value
A1 <- matrix(c(0,1,1,0, 1,0,0,1, 1,0,0,1, 0,1,1,0), 4, 4) A2 <- matrix(c(0,1,0,0, 1,0,1,0, 0,1,0,1, 0,0,1,0), 4, 4) layer_similarity(A1, A2, "jaccard") # Edge overlap #> [1] 0.4 layer_similarity(A1, A2, "cosine") # Weight similarity #> [1] 0.5773503