ggplot_robustness: Compare Network Robustness (ggplot2)

In cograph: Analysis and Visualization of Complex Networks

Compare Network Robustness (ggplot2)

Description

Creates a ggplot2 faceted visualization comparing robustness across multiple networks. Produces publication-quality figures similar to those in Nature Scientific Reports.

Usage

ggplot_robustness(
  ...,
  networks = NULL,
  measures = c("betweenness", "degree", "random"),
  strategy = "sequential",
  colors = NULL,
  title = NULL,
  n_iter = 1000,
  seed = NULL,
  type = "vertex",
  ncol = NULL,
  free_y = FALSE
)

Arguments

...	Named arguments: network names as names, network objects as values.
networks	Named list of networks (alternative to ...).
measures	Attack strategies to compare. Default c("betweenness", "degree", "random").
strategy	Character string; "sequential" (default) recalculates centrality after each removal, "static" uses initial centrality ranking throughout.
colors	Named vector of colors for measures.
title	Overall title. Default NULL.
n_iter	Iterations for random. Default 1000.
seed	Random seed. Default NULL.
type	Removal type. Default "vertex".
ncol	Columns in facet. Default NULL (auto).
free_y	If TRUE, allow different y-axis scales per facet. Default FALSE.

Value

A ggplot2 object.

Examples

if (requireNamespace("igraph", quietly = TRUE) &&
    requireNamespace("ggplot2", quietly = TRUE)) {

  g1 <- igraph::sample_pa(40, m = 2, directed = FALSE)
  g2 <- igraph::sample_gnp(40, 0.15)

  ggplot_robustness(
    "Teaching network" = g1,
    "Collaborative network" = g2,
    n_iter = 20
  )
}

cograph documentation built on April 1, 2026, 1:07 a.m.