arranges nodes in concentric circles according to a centrality index.
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 )
| g | igraph object |
|---|---|
| cent | centrality scores |
| scale | logical. should centrality scores be scaled to \([0,100]\)? (Default: TRUE) |
| 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 |
matrix of xy coordinates
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 \(tseq[i]\) is used to combine regular and constraint stress as \((1-tseq[i])*stress_{regular}+tseq[i]*stress_{constraint}\). 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.
Brandes, U., & Pich, C. (2011). More flexible radial layout. Journal of Graph Algorithms and Applications, 15(1), 157-173.
library(igraph) library(ggraph) g <- sample_gnp(10,0.4) if (FALSE) { 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() }