Table 2 The table quantifies the relevant edge statistics in Fig. 5, showing the total number of edges in the real networks |R|, and in their NNG equilibrium networks |M|, the number of true positive (magenta edges in Fig. 5) |T|=|MR|, the number of false positive (turquoise edges in Fig. 5) |F|=|M\R|, and the true positive rate, or precision, defined as |T|/|M|.

From: Navigable networks as Nash equilibria of navigation games

 

Internet H

Metabolic H

Word H

Roads E

Airport S

Airport H

Brain E

Nodes

4,919

602

4,065

3,136

283

283

998

Real edges (|R|)

28,361

2,498

38,631

1,973

1,973

17,865

NNG edges (|M|)

5,490

743

4,634

9,808

643

328

2,591

True positives (|T|)

4,556

643

3,311

8,776

65

277

2,306

False positives (|F|)

934

100

1,323

1,032

578

51

285

Precision (|T|/|M|)

83%

87%

71.5%

89.48%

10.1%

84%

89%

Frame edges (|MF|)

3,680

415

3,304

3,105

199

249

716

Frame true positives (|TF|)

3,243

378

2,528

2,931

15

216

677

Frame precision (|TF|/|MF|)

88%

91%

77%

94.40%

7.5%

87%

94.6%

Navigation success ratio

87%

85%

81%

54%

89%

89%

  1. The precision statistics is also shown for the frame edges. Capital letters H,E,S after the network names refer to the embedding geometry: E, Euclidean; H, hyperbolic; S, spherica l. The Euclidean coordinates in the brain are three-dimensional.