plot_centrality_distribution: Plot Centrality Distribution

In cograph: Analysis and Visualization of Complex Networks

Plot Centrality Distribution

Description

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: "", "y", or "xy". Values containing "x" are accepted for compatibility but only the y-axis is log-scaled by this plotting implementation. 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")

cograph documentation built on May 31, 2026, 5:06 p.m.