Plot centrality measures

Computes closeness, betweenness and eigenvector centrality for every vertex of g and plots the chosen measure. Without facets a histogram of the measure is drawn; with facets a boxplot is drawn for each combination of the facet attributes, ordered by the median of the measure.

Usage

plot_centrality(g, measure = ".degree", facets = NULL, rotate = FALSE)

Arguments

g

An igraph object.

measure

Name of the centrality measure to plot. Either a vertex attribute of g (e.g. ".degree") or one of the computed measures: "closeness", "betweenness" or "eigen_centrality".

facets

Optional character vector of vertex attributes to group by.

rotate

If TRUE, rotate the x-axis labels by 90 degrees.

Value

A ggplot object: a histogram if facets 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`.