Summary of Robustness Analysis

Summarizes robustness results across attack strategies.

Usage

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

Arguments

...

Robustness results from robustness. When these are supplied, x is ignored.

x

Network on which vertex robustness is computed for each of measures. Used when ... is empty.

measures

Measures to compute when x is supplied. Default NULL uses c("betweenness", "degree", "random").

n_iter

Iterations for random removal. Default 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. Supplying neither results nor x raises an error.

Examples

robustness_summary(x = regulation_net, measures = c("degree", "random"), n_iter = 10)
#>   measure   auc critical_50 critical_10
#> 1  degree 0.430         0.5           1
#> 2  random 0.498         0.6           1