plot.net_centrality: Plot centrality measures

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Plot centrality measures

Description

Plot centrality measures

Usage

## S3 method for class 'net_centrality'
plot(
  x,
  reorder = TRUE,
  ncol = 3L,
  type = c("bar", "line", "heatmap"),
  scales = c("free_x", "fixed"),
  profile_scale = c("measure", "none"),
  labels = TRUE,
  drop_zero = FALSE,
  ...
)

Arguments

x	A net_centrality object returned by net_centrality.
reorder	Logical. Reorder states within each centrality panel by centrality value. Default: TRUE.
ncol	Integer. Number of facet columns.
type	Plot type. "bar" shows one faceted horizontal bar chart per measure; "line" shows state profiles as lines across measures (the value "profile" is still accepted as an alias); "heatmap" shows a states-by-measures tile grid, each measure scaled to 0–1 for cross-measure comparability with the raw value printed in the tile.
scales	Facet scale mode. "free_x" uses free centrality axes; "fixed" keeps a common centrality axis.
profile_scale	Scaling used by type = "line". "measure" rescales each centrality measure to 0–1 before drawing cross-measure profiles; "none" uses raw values.
labels	Logical. Add compact value labels.
drop_zero	Logical. Drop measures whose values are all (near) zero so empty panels do not waste space. Default: FALSE (every requested measure is shown).
...	Additional arguments ignored.

Value

A ggplot object.

Nestimate documentation built on July 11, 2026, 1:09 a.m.