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Table 1 Real multiplex networks and their properties

From: Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks

Dataset

ID

Type

Nodes

Edges

Number of layers

Mean degree

CC

Intensity

Homogeneity

arXiv-Netscience (De Domenico et al. 2015a)

34

Coauthorship

26,796

59,026

13

4.41

3660

0.114786

0.641670

PierreAuger (De Domenico et al. 2015a)

26

Coauthorship

965

7153

16

14.82

131

0.086551

0.716156

Arabidopsis (Stark et al. 2006)

0

Genetic

8765

18,655

7

4.26

387

0.111636

0.408940

Bos (Stark et al. 2006)

1

Genetic

369

322

4

1.75

82

0.160341

0.582015

Candida (Stark et al. 2006)

5

Genetic

418

398

7

1.90

50

0.284783

0.888476

Celegans (Stark et al. 2006)

7

Genetic

4557

8182

6

3.59

193

0.115718

0.420231

DanioRerio (Stark et al. 2006)

8

Genetic

180

188

5

2.09

45

0.068219

0.870304

Drosophila (Stark et al. 2006)

9

Genetic

11,970

43,367

7

7.25

346

0.082283

0.405509

Gallus (Stark et al. 2006)

12

Genetic

367

389

6

2.12

54

0.151845

0.433374

HepatitusCVirus (Stark et al. 2006)

13

Genetic

129

137

3

2.12

4

0.304679

0.777382

Homo Sapiens (Stark et al. 2006)

14

Genetic

36,194

170,899

7

9.44

785

0.101047

0.519648

HumanHerpes4 (Stark et al. 2006)

16

Genetic

261

259

4

1.98

21

0.245979

0.595037

HumanHIV1 (Stark et al. 2006)

15

Genetic

1195

1355

5

2.27

13

0.158347

0.583648

Oryctolagus (Stark et al. 2006)

24

Genetic

151

144

3

1.91

21

0.241322

0.635943

Plasmodium (Stark et al. 2006)

27

Genetic

1206

2522

3

4.18

27

0.249623

0.853694

Rattus (Stark et al. 2006)

28

Genetic

3263

4268

6

2.62

296

0.126889

0.457888

SacchCere (Stark et al. 2006)

29

Genetic

27,994

282,755

7

20.20

432

0.070428

0.695150

SacchPomb (Stark et al. 2006)

30

Genetic

10,178

63,677

7

12.51

286

0.079756

0.407135

Xenopus (Stark et al. 2006)

32

Genetic

582

620

5

2.13

109

0.082539

0.829466

YeastLandscape (Costanzo et al. 2010)

33

Genetic

17,770

8,473,997

4

953.74

4

0.132035

0.534030

CElegans (Chen et al. 2006)

7

Neuronal

791

5863

3

14.82

6

0.339461

0.856373

Cannes2013 Omodei et al. 2015

6

Social

659,951

991,854

3

3.01

48,375

0.269159

0.900587

CKM-Physicians-Innovation (Coleman et al. 1957)

3

Social

674

1551

3

4.60

12

0.394666

0.988309

CS-Aarhus (Magnani et al. 2013)

4

Social

224

620

5

5.54

13

0.341388

0.894766

Kapferer-Tailor-Shop (Kapferer 1972)

17

Social

150

1018

4

13.57

5

0.438509

0.910168

Krackhardt-High-Tech (Krackhardt 1987)

18

Social

63

312

3

9.90

3

0.412875

0.838791

Lazega-Law-Firm (Lazega et al. 2001)

19

Social

211

2571

3

24.37

3

0.516232

0.970364

MLKing2013 (Omodei et al. 2015)

21

Social

392,542

396,671

3

2.02

36,041

0.260099

0.624426

MoscowAthletics2013 (Omodei et al. 2015)

22

Social

133,619

210,250

3

3.15

6323

0.246321

0.880520

ObamaInIsrael2013 (Omodei et al. 2015)

23

Social

3,457,453

4,061,960

3

2.35

651,141

0.316202

0.835469

Padgett-Florence-Families (Padgett and Ansell 1993)

25

Social

26

35

2

2.69

2

0.547715

0.986433

Vickers-Chan-7thGraders (Vickers and Chan 1981)

31

Social

87

740

3

17.01

3

0.705372

0.968908

FAO (De Domenico et al. 2015b)

11

Trade

41,713

318,346

364

15.26

571

0.290018

0.843847

EUAir (Cardillo et al. 2013)

10

Transport

2034

3588

37

3.53

41

0.015499

0.743443

London (De Domenico et al. 2014)

20

Transport

399

441

3

2.21

3

0.236502

0.875838

  1. The ID in the second column corresponds to Fig. 14