Description Usage Arguments Details Value Author(s) References
This function performs a "targeted attack" of a graph or a "random failure" analysis, calculating the size of the largest component after edge or vertex removal.
1 2  robustness(g, type = c("vertex", "edge"), measure = c("btwn.cent", "degree",
"random"), N = 1000)

g 
An 
type 
Character string; either 'vertex' or 'edge' removals (default:

measure 
Character string; sort by either 'btwn.cent' or 'degree', or
choose 'random' (default: 
N 
Integer; the number of iterations if random is chosen
(default: 
In a targeted attack, it will sort the vertices by either degree or betweenness centrality (or sort edges by betweenness), and successively remove the top vertices/edges. Then it calculates the size of the largest component.
In a random failure analysis, vertices/edges are removed in a random order.
Numeric vector representing the ratio of maximal component size after each removal to the observed graph's maximal component size
Christopher G. Watson, [email protected]
Albert R., Jeong H., Barabasi A. (2000) Error and attack tolerance of complex networks. Nature, 406:378381.
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