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Table 2 Thresholded network parameters

From: Exploiting bounded signal flow for graph orientation based on cause–effect pairs

threshold n m p n t p t n* m v m e q q v q' q v n c m c k
0.000000 5385 39921 14393 799 2014 750 2014 59 7 7 3 3 115 292 17
0.154420 4530 35041 11522 747 2203 705 2203 298 27 27 20 20 475 1632 40
0.371369 4254 32135 10740 796 2443 749 2443 275 47 47 35 35 528 2424 46
0.573290 3871 27128 9445 777 2225 704 2225 268 32 32 13 13 140 311 32
0.573313 2546 8977 5279 638 2311 477 2310 208 252 252 151 151 561 2394 68
0.830093 2206 7136 4346 643 2206 449 2206 192 304 304 193 193 727 4017 83
0.886308 1407 3646 1607 441 787 260 785 45 106 106 88 88 311 1876 75
0.943001 1135 3069 920 361 464 195 463 32 57 57 42 42 179 801 44
0.954421 1039 2504 843 350 489 175 461 45 85 73 71 61 215 3001 81
0.957338 895 2060 681 304 405 119 375 39 64 54 58 50 240 3092 89
0.965986 874 2018 666 299 477 103 411 165 90 78 85 75 358 12284 110
0.984753 668 1676 312 206 163 95 162 20 7 7 6 6 55 222 15
0.989212 581 1322 188 192 167 69 161 86 24 24 24 24 141 1088 32
0.989233 307 681 71 121 70 32 66 36 21 21 11 11 52 219 7
0.990409 294 666 28 114 27 26 26 21 2 2 2 2 9 8 2
  1. Parameters for the largest connected component of the protein interaction network assembled by Nir Yosef [25] with different thresholds for the edge probability. The uneven gaps in the sizes of the instances are because many edges have identical weights.