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Table 13 Zone properties in real-world networks

From: Ego-zones: non-symmetric dependencies reveal network groups with large and dense overlaps

Network

Zones

Zone size

Inner-zone size

Outer-zone size

Trivial

Dyad

Triad

Multi ego

Embed.

  

Max

Avg

Max

Avg

Max

Avg

     

artist

50126

73

1.885

43

1.325

33

0.560

32169

5701

7455

307

0.037

as-22july06

22522

2328

4.423

2083

2.499

245

1.924

784

8111

10300

430

0.070

astro-ph

11521

530

14.738

199

5.542

331

9.196

247

1316

1566

1792

0.323

Brightkite

53308

375

3.494

265

2.063

110

1.431

6364

21930

12344

2891

0.181

com-amazon

297805

451

4.551

360

2.556

91

1.995

45566

40210

64374

24143

0.316

com-dblp

236688

255

6.557

116

3.530

146

3.027

3585

43712

50846

50311

0.315

cond-mat

10712

91

6.444

59

3.442

48

3.002

166

1635

2122

2200

0.412

cond-2005

29389

271

8.490

117

3.857

154

4.633

483

3664

4755

4870

0.309

email-Enron

28704

1371

6.251

1326

3.056

247

3.195

1309

9837

3467

3299

0.089

facebook

3788

1017

6.587

1002

3.078

42

3.510

30

1635

346

118

0.047

ChCh-Miner

1498

78

3.766

63

2.004

17

1.762

769

209

173

9

0.027

new_sites

26729

177

3.537

110

1.894

67

1.642

9777

3783

4612

758

0.141

power

4120

24

3.674

20

2.382

8

1.292

259

1239

1162

562

0.457

PP-Decagon

18933

614

6.627

269

1.593

378

5.034

12652

1692

1787

76

0.037

PP-Pathways

21471

652

2.939

585

1.491

120

1.448

11135

5060

2992

37

0.025

Yeast

2181

32

3.169

26

1.887

10

1.282

414

796

476

38

0.177

LFR 20 500 2000

9848

88

4.591

64

2.235

31

2.356

4819

909

693

57

0.587

LFR 7 60 4000

9476

72

4.638

46

2.418

27

2.219

2270

129

3619

430

0.425

  1. All the biological networks (ChCh-Miner, PP-Decagon, PP-Pathways, Yeast), social networks (artist, facebook, new_sites), and communication networks (Brightkite, Email-Enron) have a low average value of zone embeddedness