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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