cograph (version 2.7.2)

plot_centrality: Plot Centrality

Description

Publication-quality visualization of one or more centrality measures. Accepts the data frame from centrality directly or any network input.

Usage

plot_centrality(
  x,
  measures = NULL,
  style = c("line", "bar", "lollipop", "dot"),
  orientation = c("horizontal", "vertical"),
  scale = c("raw", "normalized", "z", "rank"),
  order_by = NULL,
  top_n = NULL,
  highlight = 0L,
  cluster = NULL,
  palette = "cograph",
  ncol = NULL,
  title = NULL,
  subtitle = NULL,
  ...
)

Value

A ggplot object.

Arguments

x

Output of centrality, or any network input (matrix, igraph, cograph_network, tna, netobject).

measures

Character vector of measure names. Default pulls the classical five (degree, strength, betweenness, closeness, eigenvector) when x is a network; default NULL keeps all columns when x is already a centrality data frame.

style

Character: "line" (default), "bar", "lollipop", or "dot".

orientation

Character: "horizontal" (default, nodes on y-axis) or "vertical" (nodes on x-axis).

scale

Character: "raw" (default, native units; in the "line" style this forces free y-axis per measure via faceting), "normalized" ([0, 1] within measure), "z" (standardized within measure), or "rank" (1..n, highest value = 1).

order_by

Character. For "bar"/"lollipop": which measure sorts nodes. Defaults to the first measure. Use "alpha" for alphabetical. For "line", this also controls node ordering unless "alpha" is requested.

top_n

Optional integer to keep only the top-N nodes (by order_by). Useful for large graphs.

highlight

Optional integer: highlight the top-N bars/lines per measure in full color; mute the rest. Default 0 (no highlighting).

cluster

Optional named vector or data-frame column mapping each node to a cluster/community. Colors nodes by cluster when supplied.

palette

Character or vector. "cograph" (default) uses cograph's teal-gold-leaf palette; "okabe" uses Okabe-Ito; "viridis" uses viridis; or supply a character vector of colors.

ncol

For faceted styles ("bar", "lollipop"): number of columns. Default NULL chooses sensibly based on measure count.

title

Plot title. Default NULL.

subtitle

Plot subtitle. Default NULL.

...

Passed to centrality when x is a network.

Details

Four styles are available:

"line"

Faceted line view with one panel per measure. Nodes are ordered along the requested orientation and connected within each measure.

"bar"

Horizontal bars, one facet per measure. Best for reading individual measure values.

"lollipop"

Like "bar" but with a dot at the tip. Softer visual weight; useful on dense grids.

"dot"

Dot-only variant of the lollipop style.

Examples

adj <- matrix(c(0,1,1,0,0, 1,0,1,1,0, 1,1,0,1,1, 0,1,1,0,1, 0,0,1,1,0),
              5, 5)
rownames(adj) <- colnames(adj) <- LETTERS[1:5]
plot_centrality(adj)
plot_centrality(adj, style = "bar", highlight = 2)