Plot Centrality Distribution — plot_centrality

Histogram or density plot of any centrality measure. Accepts the output of centrality directly.

Usage

plot_centrality_distribution(
  x,
  measure = "degree_all",
  type = c("histogram", "density"),
  normalize = FALSE,
  bins = NULL,
  log = "",
  col = "steelblue",
  border = "white",
  main = NULL,
  xlab = NULL,
  ...
)

Arguments

x: A data frame from centrality, or a network input (matrix, igraph, cograph_network, tna).
measure: Character. Which centrality measure to plot. Default "degree_all". Must match a column name in the centrality output.
type: Character. "histogram" (default) or "density".
normalize: Logical. Show proportions instead of counts. Default FALSE.
bins: Integer or NULL. Number of bins. Default NULL (auto).
log: Character. Log scaling: "", "x", "y", or "xy". Default "".
col: Fill color. Default "steelblue".
border: Border color. Default "white".
main: Plot title. Default auto-generated from measure name.
xlab: X-axis label. Default auto-generated.
...: Additional arguments passed to barplot or plot.

Value

Invisibly returns the centrality values plotted.

Examples

adj <- matrix(c(0,1,1,0, 1,0,1,1, 1,1,0,1, 0,1,1,0), 4, 4)
rownames(adj) <- colnames(adj) <- LETTERS[1:4]
cograph::plot_centrality_distribution(adj, measure = "degree_all")