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Select Connected Component

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

Select nodes belonging to a specific connected component.

Usage

select_component(
  x,
  which = "largest",
  ...,
  keep_edges = c("internal", "none"),
  keep_format = FALSE,
  directed = NULL
)

Arguments

x

Network input.

which

Component selection:

"largest"

(default) The largest connected component

Integer

Component by ID

Character

Component containing the named node

...

Additional filter expressions to apply after component selection.

keep_edges

How to handle edges. Default "internal".

keep_format

Logical. Keep input format? Default FALSE.

directed

Logical or NULL. Auto-detect if NULL.

Value

A cograph_network with nodes in the selected component.

See also

select_nodes, select_neighbors

Examples

select_component(regulation_net, which = "largest")
#> Cograph network: 10 nodes, 30 edges ( directed )
#> Source: matrix 
#>   Nodes (10): Explore, Plan, Monitor, Adapt, Reflect, Discuss, ... +4 more
#>   Edges: 30 / 90 (density: 33.3%)
#>   Weights: [0.050, 0.490]  |  mean: 0.265
#>   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.