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Table 1 Benchmark networks and their properties

From: Efficiently identifying critical nodes in large complex networks

Network Type | V | | E | ρ δ ξ
Conmat [33] Collaboration 23,133 93,439 0.264 15 0.134
Ego [34] Social 4,039 88,234 0.519 8 0.064
Flight [35] Transportation 2,939 15,677 0.255 14 0.051
Powergrid [36] Power grid 4,941 6,594 0.103 46 0.003
Relativity [33] Collaboration 5,242 14,484 0.630 17 0.659
Oclinks [37] Social 1,899 13,838 0.057 8 −0.188
  1. |V| and |E| are the number of vertices and edges, ρ is the global clustering coefficient, δ is the diameter, and ξ is the degree assortativity.