layout_centrality {graphlayouts} | R Documentation |
radial centrality layout
Description
arranges nodes in concentric circles according to a centrality index.
Usage
layout_with_centrality(
g,
cent,
scale = TRUE,
iter = 500,
tol = 1e-04,
tseq = seq(0, 1, 0.2)
)
layout_igraph_centrality(
g,
cent,
scale = TRUE,
iter = 500,
tol = 1e-04,
tseq = seq(0, 1, 0.2),
circular
)
Arguments
g |
igraph object |
cent |
centrality scores |
scale |
logical. should centrality scores be scaled to |
iter |
number of iterations during stress optimization |
tol |
stopping criterion for stress optimization |
tseq |
numeric vector. increasing sequence of coefficients to combine regular stress and constraint stress. See details. |
circular |
not used |
Details
The function optimizes a convex combination of regular stress and a constrained stress function which forces
nodes to be arranged on concentric circles. The vector tseq
is the sequence of parameters used for the convex combination.
In iteration i of the algorithm is used to combine regular and constraint stress as
. The sequence must be increasing, start at zero and end at one. The default setting should be a good choice for most graphs.
The layout_igraph_* function should not be used directly. It is only used as an argument for plotting with 'igraph'. 'ggraph' natively supports the layout.
Value
matrix of xy coordinates
References
Brandes, U., & Pich, C. (2011). More flexible radial layout. Journal of Graph Algorithms and Applications, 15(1), 157-173.
See Also
Examples
library(igraph)
library(ggraph)
g <- sample_gnp(10, 0.4)
## Not run:
ggraph(g, layout = "centrality", centrality = closeness(g)) +
draw_circle(use = "cent") +
geom_edge_link0() +
geom_node_point(shape = 21, fill = "grey25", size = 5) +
theme_graph() +
coord_fixed()
## End(Not run)