These functions reformat manynet-consistent data.

  • to_unnamed() reformats labelled network data to unlabelled network data.

  • to_unweighted() reformats weighted network data to unweighted network data, with all tie weights removed.

  • to_unsigned() reformats signed network data to unsigned network data keeping just the "positive" or "negative" ties.

  • to_simplex() reformats complex network data, containing loops, to simplex network data, without any loops.

  • to_uniplex() reformats multiplex network data to a single type of tie.

If the format condition is not met, for example to_undirected() is used on a network that is already undirected, the network data is returned unaltered. No warning is given so that these functions can be used to ensure conformance.

Unlike the as_*() group of functions, these functions always return the same class as they are given, only transforming these objects' properties.

to_unnamed(.data)

to_unweighted(.data, threshold = 1)

to_unsigned(.data, keep = c("positive", "negative"))

to_simplex(.data)

to_uniplex(.data, tie)

Arguments

.data

An object of a manynet-consistent class:

  • matrix (adjacency or incidence) from {base} R

  • edgelist, a data frame from {base} R or tibble from {tibble}

  • igraph, from the {igraph} package

  • network, from the {network} package

  • tbl_graph, from the {tidygraph} package

threshold

For a matrix, the threshold to binarise/dichotomise at.

keep

In the case of a signed network, whether to retain the "positive" or "negative" ties.

tie

Character string naming a tie attribute to retain from a graph.

Value

All to_ functions return an object of the same class as that provided. So passing it an igraph object will return an igraph object and passing it a network object will return a network object, with certain modifications as outlined for each function.

Details

Not all functions have methods available for all object classes. Below are the currently implemented S3 methods:

data.frameigraphmatrixnetworktbl_graph
to_simplex11111
to_undirected11111
to_uniplex11111
to_unnamed11111
to_unsigned11111
to_unweighted11111

Examples

as_tidygraph(create_filled(5)) %>%
  mutate_ties(type = sample(c("friend", "enemy"), 10, replace = TRUE)) %>%
  to_uniplex("friend")
#> 
#> ── # Filled network ────────────────────────────────────────────────────────────
#> # A undirected network of 5 nodes and 4 friend ties
#> 
#> ── Ties 
#> # A tibble: 4 × 2
#>    from    to
#>   <int> <int>
#> 1     1     3
#> 2     1     5
#> 3     2     5
#> 4     4     5
#>