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Table 4 Comparison of the CNDP objective value after removing 10% and 20% of vertices from each network in Table 1

From: Efficiently identifying critical nodes in large complex networks

Problem K SEQ Degree PageRank Authority MIS
Comnat 2313 58,796,393 103,398,683 87,630,163 126,804,602 NA
  4627 83,686 90,610 92,242 7,399,785 NA
Ego 404 2,717,347 5,339,614 3,816,109 6,320,816 2,192,636
  808 1,848,740 2,070,535 2,886,709 3,438,031 903,441
Flight 294 322,527 484,331 467,962 1,014,305 77,777
  588 1,457 1,698 1,715 1,567 2,626
Powergrid 494 22,182 51,508 212,369 56,815 25,253
  988 3,639 4,580 14,744 3,771 5,378
Relativity 524 224,010 1,628,337 302,309 3,382,195 23,620
  1,048 4,089 4,896 9,023 6,390 6,163
Oclinks 190 637,936 785,662 758,328 835,297 746,085
  380 218,215 258,277 246,876 306,289 402,824
  1. SEQ-based results are those obtained by the proposed algorithm. The MIS-based approach was unable to arrive at solutions within 40 h for the conmat networks.