I have a graph
of vertices and edges which I'd like to plot using a fruchtermanreingold
layout.
Here's the graph
edges matrix:
edge.mat <- matrix(as.numeric(strsplit("3651,0,0,1,0,0,0,0,2,0,11,2,0,0,0,300,0,1,0,0,66,0,78,9,0,0,0,0,0,0,11690,0,1,0,0,0,0,0,0,0,0,493,1,1,0,4288,5,0,0,36,0,9,7,3,0,6,1,0,1,7,490,0,0,0,6,0,0,628,6,12,0,0,0,0,0,641,0,0,4,0,0,0,0,0,0,66,0,0,0,0,3165,0,281,0,0,0,0,0,0,0,0,45,1,0,0,35248,0,1698,2,0,1,0,2,99,0,0,6,29,286,0,31987,0,1,10,0,8,0,16,0,21,1,0,0,1718,0,51234,0,0,17,3,12,0,0,7,0,0,0,1,0,2,16736,0,0,0,3,0,0,4,630,0,0,0,9,0,0,29495,53,6,0,0,0,0,5,0,0,0,0,3,0,19,186,0,0,0,482,8,12,0,1,0,7,1,0,6,0,26338",split=",")[[1]]),nrow=14,dimnames=list(LETTERS[1:14],LETTERS[1:14]))
I then create and igraph
object from that using:
gr <- igraph::graph_from_adjacency_matrix(edge.mat,mode="undirected",weighted=T,diag=F)
Then I follow examples of R
's ggnetwork
to convert gr
to a data.frame
:
set.seed(1)
gr.df <- ggnetwork::ggnetwork(gr,layout="fruchtermanreingold",weights="weight",niter=50000, arrow.gap=0)
And then I plot it using ggplot2
and ggnetwork
:
ggplot2::ggplot(gr.df,ggplot2::aes(x=x,y=y,xend=xend,yend=yend))+
ggnetwork::geom_edges(color="gray")+
ggnetwork::geom_nodes(color="black")+
ggnetwork::geom_nodelabel_repel(aes(label=vertex.names,color=vertex.names),fontface="bold",box.padding=unit(1,"lines"))+
ggplot2::theme_minimal()+ggplot2::theme(axis.text=ggplot2::element_blank(),axis.title=ggplot2::element_blank(),legend.position="none")
My question is how to get the widths of the edge lines in this plot to be proportional to the edge weights in gr
(igraph::E(gr)$weight
)?
Looking at gr.df
:
> head(gr.df)
x y na.x vertex.names xend yend na.y weight
1 0.3637960 0.8873783 FALSE A 0.3637960 0.8873783 NA NA
2 0.7480217 0.4129375 FALSE B 0.7480217 0.4129375 NA NA
3 0.1306538 0.0000000 FALSE C 0.1306538 0.0000000 NA NA
4 0.4828271 0.6498561 FALSE D 0.4828271 0.6498561 NA NA
5 0.2243358 0.4484766 FALSE E 0.2243358 0.4484766 NA NA
6 1.0000000 0.6396669 FALSE F 1.0000000 0.6396669 NA NA
I see that the edges are not transferred from gr
to gr.df
.
You can specify the
size
aesthetic in thegeom_edges
call. E.g.aes(size=weight)
As a note, the dataframe created does contain the vertices, and the edges and relevant weights. The vertices are listed first and the edges come next. In this case, if you look at the whole dataframe (or just
tail
), you'll see that the weight values are there for the edges.