Tables of a higher-order network embedding

Usage

# S3 method for class 'net_honem'
hg_get(x, what = c("embeddings", "variance"), ..., top = NULL)

Arguments

x: A net_honem object from honem().
what: "embeddings" (default) for the node coordinates, or "variance" for the per-dimension singular values.
...: Unused.
top: Integer or NULL. Return only the first top rows, applied after any filter and after sort_by, so sort_by and top compose. Default NULL returns every row.

Value

A data.frame. For what = "embeddings", one row per higher-order node: node followed by one column per embedding dimension (dim1, dim2, ...). For what = "variance", one row per dimension: dimension, singular_value, proportion (that dimension's share of the total squared singular value).

Examples

seqs <- list(c("a", "b", "c", "a", "b", "c"), c("x", "b", "d", "x", "b", "d"),
             c("a", "b", "c", "a", "b", "c"), c("x", "b", "d", "x", "b", "d"))
emb <- honem(hon(seqs, max_order = 2), dim = 2)
hg_get(emb)
#>     node      dim1          dim2
#> 1      a -0.366535 -4.082483e-01
#> 2 a -> b -0.428539 -4.082483e-01
#> 3      b -0.428539  2.578122e-15
#> 4      c -0.366535 -4.082483e-01
#> 5      d -0.366535  4.082483e-01
#> 6      x -0.366535  4.082483e-01
#> 7 x -> b -0.428539  4.082483e-01
hg_get(emb, what = "variance")
#>   dimension singular_value proportion
#> 1         1       1.088329  0.5422208
#> 2         2       1.000000  0.4577792