Split a Network into Its Connected Components

Split a Network into Its Connected Components

Usage

split_components(x, min_size = 1L, keep_format = FALSE, directed = NULL)

Arguments

x

Network input.

min_size

Integer. Components with fewer nodes are dropped. Default 1 keeps every component, including isolated nodes.

keep_format

Logical. If TRUE, each component of a matrix, igraph, statnet network or tna input is returned in that format. An edge-list data frame or a qgraph object gives cograph_network components with a cograph_no_format_roundtrip warning. Default FALSE.

directed

Logical or NULL. Directedness used to read the input. NULL (default) detects it from the input.

Value

A list of cograph_network objects, one per component, ordered from largest to smallest and named "component_1", "component_2", and so on. Components are weakly connected, matching igraph::components(mode = "weak"). A network with no nodes gives an empty list and a warning.

See also

select_component, remove_isolates

Examples

split_components(threshold_edges(regulation_net, minimum = 0.3))
#> $component_1
#> Cograph network: 10 nodes, 14 edges ( directed )
#> Source: matrix 
#>   Nodes (10): Explore, Plan, Monitor, Adapt, Reflect, Discuss, ... +4 more
#>   Edges: 14 / 90 (density: 15.6%)
#>   Weights: [0.300, 0.490]  |  mean: 0.386
#>   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.
#>