Use this if you are using igraph from R
merge_coords {igraph} | R Documentation |
Place several graphs on the same layout
merge_coords(graphs, layouts, method = "dla")
layout_components(graph, layout = layout_with_kk, ...)
graphs |
A list of graph objects. |
layouts |
A list of two-column matrices. |
method |
Character constant giving the method to use. Right now only
|
graph |
The input graph. |
layout |
A function object, the layout function to use. |
... |
Additional arguments to pass to the |
merge_coords
takes a list of graphs and a list of coordinates and
places the graphs in a common layout. The method to use is chosen via the
method
parameter, although right now only the dla
method is
implemented.
The dla
method covers the graph with circles. Then it sorts the
graphs based on the number of vertices first and places the largest graph at
the center of the layout. Then the other graphs are placed in decreasing
order via a DLA (diffision limited aggregation) algorithm: the graph is
placed randomly on a circle far away from the center and a random walk is
conducted until the graph walks into the larger graphs already placed or
walks too far from the center of the layout.
The layout_components
function disassembles the graph first into
maximal connected components and calls the supplied layout
function
for each component separately. Finally it merges the layouts via calling
merge_coords
.
A matrix with two columns and as many lines as the total number of vertices in the graphs.
Gabor Csardi csardi.gabor@gmail.com
plot.igraph
, tkplot
,
layout
, disjoint_union
Other graph layouts:
add_layout_()
,
component_wise()
,
layout_as_bipartite()
,
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_()
,
norm_coords()
,
normalize()
# create 20 scale-free graphs and place them in a common layout
graphs <- lapply(sample(5:20, 20, replace=TRUE),
barabasi.game, directed=FALSE)
layouts <- lapply(graphs, layout_with_kk)
lay <- merge_coords(graphs, layouts)
g <- disjoint_union(graphs)
## Not run: plot(g, layout=lay, vertex.size=3, labels=NA, edge.color="black")