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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.