Implements the stub edge bundling by Nocaj and Brandes
edge_bundle_stub(
object,
xy,
alpha = 11,
beta = 75,
gamma = 40,
t = 0.5,
tshift = 0.5
)a graph object (igraph/tbl_graph). Does not support network objects
coordinates of vertices
maximal angle (in degree) between consecutive edges in a bundle
angle (in degree) at which to connect two stubs
maximal overall angle (in degree) of an edge bundle
numeric between 0 and 1. control point location
numeric between 0 and 1. The closer to one, the longer the bigger bundle
data.frame containing the bundled edges
see online for plotting tips
Nocaj, Arlind, and Ulrik Brandes. "Stub bundling and confluent spirals for geographic networks." International Symposium on Graph Drawing. Springer, Cham, 2013.
library(igraph)
g <- graph.star(10,"undirected")
xy <- matrix(c(
0,0,
cos(90*pi/180),sin(90*pi/180),
cos(80*pi/180),sin(80*pi/180),
cos(70*pi/180),sin(70*pi/180),
cos(330*pi/180),sin(330*pi/180),
cos(320*pi/180),sin(320*pi/180),
cos(310*pi/180),sin(310*pi/180),
cos(210*pi/180),sin(210*pi/180),
cos(200*pi/180),sin(200*pi/180),
cos(190*pi/180),sin(190*pi/180)
),ncol=2,byrow=TRUE)
edge_bundle_stub(g,xy)
#> x y index group
#> 1 0.000000e+00 0.0000000 0.0000000 1.1
#> 2 5.430910e-02 0.3080022 0.1428571 1.1
#> 3 1.086182e-01 0.6160044 0.2857143 1.1
#> 4 5.430910e-02 0.6205022 0.4285714 1.1
#> 5 6.123234e-17 1.0000000 0.5714286 1.2
#> 6 4.975128e-17 0.8125000 0.7142857 1.2
#> 7 3.827021e-17 0.6250000 0.8571429 1.2
#> 8 5.430910e-02 0.6205022 1.0000000 1.2
#> 9 0.000000e+00 0.0000000 0.0000000 2.1
#> 10 5.426506e-02 0.3077524 0.1428571 2.1
#> 11 1.085301e-01 0.6155048 0.2857143 2.1
#> 12 1.085301e-01 0.6155048 0.4285714 2.1
#> 13 1.736482e-01 0.9848078 0.5714286 2.2
#> 14 1.410891e-01 0.8001563 0.7142857 2.2
#> 15 1.085301e-01 0.6155048 0.8571429 2.2
#> 16 1.085301e-01 0.6155048 1.0000000 2.2
#> 17 0.000000e+00 0.0000000 0.0000000 3.1
#> 18 5.430910e-02 0.3080022 0.1428571 3.1
#> 19 1.086182e-01 0.6160044 0.2857143 3.1
#> 20 1.611904e-01 0.6016561 0.4285714 3.1
#> 21 3.420201e-01 0.9396926 0.5714286 3.2
#> 22 2.778914e-01 0.7635003 0.7142857 3.2
#> 23 2.137626e-01 0.5873079 0.8571429 3.2
#> 24 1.611904e-01 0.6016561 1.0000000 3.2
#> 25 0.000000e+00 0.0000000 0.0000000 4.1
#> 26 2.395832e-01 -0.2010342 0.1428571 4.1
#> 27 4.791663e-01 -0.4020683 0.2857143 4.1
#> 28 5.102161e-01 -0.3572842 0.4285714 4.1
#> 29 8.660254e-01 -0.5000000 0.5714286 4.2
#> 30 7.036456e-01 -0.4062500 0.7142857 4.2
#> 31 5.412659e-01 -0.3125000 0.8571429 4.2
#> 32 5.102161e-01 -0.3572842 1.0000000 4.2
#> 33 0.000000e+00 0.0000000 0.0000000 5.1
#> 34 2.393889e-01 -0.2008711 0.1428571 5.1
#> 35 4.787778e-01 -0.4017423 0.2857143 5.1
#> 36 4.787778e-01 -0.4017423 0.4285714 5.1
#> 37 7.660444e-01 -0.6427876 0.5714286 5.2
#> 38 6.224111e-01 -0.5222649 0.7142857 5.2
#> 39 4.787778e-01 -0.4017423 0.8571429 5.2
#> 40 4.787778e-01 -0.4017423 1.0000000 5.2
#> 41 0.000000e+00 0.0000000 0.0000000 6.1
#> 42 2.395832e-01 -0.2010342 0.1428571 6.1
#> 43 4.791663e-01 -0.4020683 0.2857143 6.1
#> 44 4.404543e-01 -0.4404230 0.4285714 6.1
#> 45 6.427876e-01 -0.7660444 0.5714286 6.2
#> 46 5.222649e-01 -0.6224111 0.7142857 6.2
#> 47 4.017423e-01 -0.4787778 0.8571429 6.2
#> 48 4.404543e-01 -0.4404230 1.0000000 6.2
#> 49 0.000000e+00 0.0000000 0.0000000 7.1
#> 50 -2.938923e-01 -0.1069680 0.1428571 7.1
#> 51 -5.877845e-01 -0.2139361 0.2857143 7.1
#> 52 -5.645252e-01 -0.2632180 0.4285714 7.1
#> 53 -8.660254e-01 -0.5000000 0.5714286 7.2
#> 54 -7.036456e-01 -0.4062500 0.7142857 7.2
#> 55 -5.412659e-01 -0.3125000 0.8571429 7.2
#> 56 -5.645252e-01 -0.2632180 1.0000000 7.2
#> 57 0.000000e+00 0.0000000 0.0000000 8.1
#> 58 -2.936539e-01 -0.1068813 0.1428571 8.1
#> 59 -5.873079e-01 -0.2137626 0.2857143 8.1
#> 60 -5.873079e-01 -0.2137626 0.4285714 8.1
#> 61 -9.396926e-01 -0.3420201 0.5714286 8.2
#> 62 -7.635003e-01 -0.2778914 0.7142857 8.2
#> 63 -5.873079e-01 -0.2137626 0.8571429 8.2
#> 64 -5.873079e-01 -0.2137626 1.0000000 8.2
#> 65 0.000000e+00 0.0000000 0.0000000 9.1
#> 66 -2.938923e-01 -0.1069680 0.1428571 9.1
#> 67 -5.877845e-01 -0.2139361 0.2857143 9.1
#> 68 -6.016447e-01 -0.1612331 0.4285714 9.1
#> 69 -9.848078e-01 -0.1736482 0.5714286 9.2
#> 70 -8.001563e-01 -0.1410891 0.7142857 9.2
#> 71 -6.155048e-01 -0.1085301 0.8571429 9.2
#> 72 -6.016447e-01 -0.1612331 1.0000000 9.2
# use ggforce::geom_bezier for plotting