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cograph (version 2.7.2)

robustness_summary: Summary of Robustness Analysis

Description

Provides a summary comparing robustness metrics across attack strategies.

Usage

robustness_summary(..., x = NULL, measures = NULL, n_iter = 1000)

Value

A data frame with one row per supplied (or computed) robustness result and columns measure, auc (area under the robustness curve), critical_50 (fraction removed when the largest component first falls below 50\

same at 10\

crossed. All numeric columns are rounded to 4 decimal places.

Arguments

...

Robustness results to summarize.

x

Network for on-the-fly computation.

measures

Measures to compute if x provided.

n_iter

Iterations for random. Default 1000.

Examples

Run this code
g <- igraph::sample_pa(30, m = 2, directed = FALSE)
robustness_summary(x = g, measures = c("degree", "random"), n_iter = 10)

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