R igraph manual pages

Use this if you are using igraph from R

Simple two-row layout for bipartite graphs

Description

Minimize edge-crossings in a simple two-row (or column) layout for bipartite graphs.

Usage

layout_as_bipartite(graph, types = NULL, hgap = 1, vgap = 1, maxiter = 100)

as_bipartite(...)


Arguments

 graph The bipartite input graph. It should have a logical ‘type’ vertex attribute, or the types argument must be given. types A logical vector, the vertex types. If this argument is NULL (the default), then the ‘type’ vertex attribute is used. hgap Real scalar, the minimum horizontal gap between vertices in the same layer. vgap Real scalar, the distance between the two layers. maxiter Integer scalar, the maximum number of iterations in the crossing minimization stage. 100 is a reasonable default; if you feel that you have too many edge crossings, increase this. ... Arguments to pass to layout_as_bipartite.

Details

The layout is created by first placing the vertices in two rows, according to their types. Then the positions within the rows are optimized to minimize edge crossings, using the Sugiyama algorithm (see layout_with_sugiyama).

Value

A matrix with two columns and as many rows as the number of vertices in the input graph.

Author(s)

Gabor Csardi csardi.gabor@gmail.com

layout_with_sugiyama

Other graph layouts: add_layout_(), component_wise(), layout_as_star(), layout_as_tree(), layout_in_circle(), layout_nicely(), layout_on_grid(), layout_on_sphere(), layout_randomly(), layout_with_dh(), layout_with_fr(), layout_with_gem(), layout_with_graphopt(), layout_with_kk(), layout_with_lgl(), layout_with_mds(), layout_with_sugiyama(), layout_(), merge_coords(), norm_coords(), normalize()

Examples

# Random bipartite graph
inc <- matrix(sample(0:1, 50, replace = TRUE, prob=c(2,1)), 10, 5)
g <- graph_from_incidence_matrix(inc)
plot(g, layout = layout_as_bipartite,
vertex.color=c("green","cyan")[V(g)\$type+1])

# Two columns
g %>%