xHEB | R Documentation |
xHEB
is supposed to visualise a graph with communities using
hierarchical edge bundling (HEB), an effective way to visualise
connections between leaves of a hierarchical/tree graph (representing
the community structure). The connections are curved and follow the
tree structure (in a circular layout). It returns a ggplot object.
xHEB(g, leave.label.size = 3, leave.label.color = "black", leave.size = NULL, edge.tension = 0.8, edge.alpha = 1, edge.width = 0.5, edge.palette = NULL)
g |
an object of class "igraph" with node attributes 'name' and 'community' |
leave.label.size |
the text size of the leave labelings. By default, it is 3 |
leave.label.color |
the color of the leave labelings. By default, it is 'black'. If NULL, the label will be colored by the community |
leave.size |
the size of the leave nodes. By default, it is 3 if there is no node attribute 'size' |
edge.tension |
the bundling strength of edges. 1 for very tight bundles, 0 for no bundle (straight lines). By defaults it is 0.8 |
edge.alpha |
the alpha of edges |
edge.width |
the width of edges |
edge.palette |
the palette defining edge color. It is correponding to the edge attribute 'weight' for the input graph (if any). By default, it is NULL: if the edge attribute 'weight' exists for the input graph, it will be 'RdPu' (RColorBrewer::display.brewer.all()); otherwise 'skyblue' |
a ggplot2 object
xHEB
# 1) generate a random bipartite graph set.seed(123) g <- sample_bipartite(50, 20, p=0.1) V(g)$name <- paste0('node_',1:vcount(g)) ## Not run: # 2) obtain its community ig <- xBigraph(g) # 3) HEB visualisation library(ggraph) E(ig)$weight <- runif(ecount(ig)) gp <- xHEB(ig) ## End(Not run)