Computes closeness, betweenness and eigenvector centrality for every vertex
of g and plots the chosen measure. Without preds a histogram of the
measure is drawn; with preds a boxplot is drawn for each combination of
the facet attributes, ordered by the median of the measure.
Usage
plot_centrality(g, centrality = ".degree", preds = NULL, rotate = FALSE)
Arguments
- g
An igraph object.
- centrality
centrality measures
- preds
Preditors for centrality
- rotate
If TRUE, rotate the x-axis labels by 90 degrees.
Value
A ggplot object: a histogram if preds is NULL, otherwise a
boxplot.
Examples
plot_centrality(example_network)
#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
plot_centrality(example_network, ".closeness", rotate = TRUE)
#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
