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Combine Two Networks

Source: R/wrangle-edit.R
bind_networks.Rd

Aligns two networks on node labels and combines their edges.

Usage

bind_networks(
  x,
  y,
  method = c("union", "intersection", "difference"),
  weight = c("sum", "mean", "max", "min", "first"),
  keep_format = FALSE,
  directed = NULL
)

Arguments

x, y

Network inputs.

method

How to combine the edge sets:

"union"

(default) every edge of either network, over the union of the node sets

"intersection"

only edges present in both, over the nodes common to both

"difference"

edges of x that are not in y, over the nodes of x

weight

How to combine the weights of an edge present in both: "sum" (default), "mean", "max", "min", or "first" (keep x's weight).

keep_format

Logical. Return x's format when TRUE.

directed

Logical or NULL. If NULL (default), the result is directed when either input is.

Value

A cograph_network over the combined node set, or x's format when keep_format = TRUE. Nodes are ordered with x's first, then any node only y has.

See also

add_edges, plot_difference

Examples

bind_networks(regulation_net, t(regulation_net))
#> Cograph network: 10 nodes, 54 edges ( directed )
#> Source: matrix 
#>   Nodes (10): Explore, Plan, Monitor, Adapt, Reflect, Discuss, ... +4 more
#>   Edges: 54 / 90 (density: 60.0%)
#>   Weights: [0.070, 0.570]  |  mean: 0.295
#>   Strongest edges:
#>     Share -> Plan  0.570
#>     Plan -> Share  0.570
#>     Create -> Monitor  0.540
#>     Monitor -> Create  0.540
#>     Evaluate -> Plan  0.490
#> Layout: none 
#>   Use as.data.frame() for the edge table, as.data.frame(what = "nodes") for the nodes.