Remove Isolated Nodes

Removes every node with no edges. Edge filters such as filter_edges keep all nodes, and this function removes the isolates that such a filter leaves behind.

Usage

remove_isolates(x, keep_format = FALSE, directed = NULL)

Arguments

x

Network input: cograph_network, matrix, igraph, network, tna, or an edge-list data frame.

keep_format

Logical. If TRUE, a matrix, igraph, statnet network or tna input is returned in its own format. An edge-list data frame or a qgraph object is returned as a cograph_network with a cograph_no_format_roundtrip warning. Default FALSE returns a cograph_network.

directed

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

Value

A cograph_network with the isolated nodes removed (or the input format when keep_format = TRUE). The remaining nodes keep their order, and edge indices are remapped to the new node numbering.

See also

filter_edges, split_components, filter_nodes

Examples

remove_isolates(threshold_edges(regulation_net, minimum = 0.3))
#> 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.