Skip to contents

Select Top N Edges

Source: R/network-utils.R
select_top_edges.Rd

Select the top N edges ranked by weight or another metric.

Usage

select_top_edges(
  x,
  n,
  by = "weight",
  ...,
  keep_isolates = TRUE,
  keep_format = FALSE,
  directed = NULL
)

Arguments

x

Network input.

n

Integer. Number of top edges to select.

by

Character. Metric for ranking. One of: "weight" (default), "abs_weight", "edge_betweenness", "from_degree", "to_degree", "from_strength", "to_strength", "weight_rank". Any other name raises a cograph_bad_selection error.

...

Additional filter expressions, applied after the top n edges are selected.

keep_isolates

Keep nodes that end up with no edges? Default TRUE.

keep_format

Keep input format? Default FALSE.

directed

Auto-detect if NULL.

Value

A cograph_network with the top N edges.

See also

select_edges, select_top

Examples

select_top_edges(regulation_net, n = 5, keep_isolates = FALSE)
#> Cograph network: 8 nodes, 5 edges ( directed )
#> Source: matrix 
#>   Nodes (8): Plan, Monitor, Adapt, Reflect, Discuss, Synthesize, Evaluate, Share
#>   Edges: 5 / 56 (density: 8.9%)
#>   Weights: [0.400, 0.490]  |  mean: 0.446
#>   Strongest edges:
#>     Share -> Monitor  0.490
#>     Plan -> Evaluate  0.490
#>     Evaluate -> Adapt  0.430
#>     Synthesize -> Reflect  0.420
#>     Plan -> Discuss  0.400
#> Layout: none 
#>   Use as.data.frame() for the edge table, as.data.frame(what = "nodes") for the nodes.