Discrete Dynamics in Nature and Society / 2008 / Article / Tab 1 / Research Article
Statistical Analysis of Weighted Networks Table 1
A comparison between random network and scale-free network (NM: network model, WD: weight distribution, WCC: weighted clustering coefficient,
: squared correlation coefficient,
ig:
-ratio and corresponding significance,
,
: Estimated parameters of the linear model (constant and coefficient of the predictor variable relative perturbation norm) with corresponding
ig (
-value)).
NM WD WCC
ig
ig
igRandomNetwork Erdos-Renyi model Uniform
(Figure 3(a) ) Zhang 0.994 1290.02
.000 0.372 69.09
.000 −0.362 −35.91
.000 Lopez-Fernandez 0.994 1364.86
.000 0.371 71.07
.000 −0.362 −36.94
.000 Onnela 0.997 2975.03
.000 0.370 100.35
.000 −0.376 −54.54
.000 Barrat 0.013 0.10
.758 0.362 657.63
.000 0.000 −0.31
.758 Serrano 0.000 0.00
.972 0.362 301.84
.000 0.000 −0.03
.972
Normal (Figure 3(b) ) Zhang 0.999 13629.46
.000 0.364 219.95
.000 −0.362 −116.74
.000 Lopez-Fernandez 0.999 13711.18
.000 0.364 220.76
.000 −0.362 −117.09
.000 Onnela 1 35769.84
.000 0.363 352.13
.000 −0.366 −189.12
.000 Barrat 0.001 0.01
.920 0.361 1763.89
.000 0.000 −0.10
.920 Serrano 0.027 0.22
.649 0.362 888.63
.000 0.000 −0.47
.649
Exponential
(Figure 3(c) ) Zhang 1 102303.27
.000 0.362 599.49
.000 −0.362 −319.84
.000 Lopez-Fernandez 1 109645.31
.000 0.362 619.96
.000 −0.362 −331.12
.000 Onnela 1 24935.11
.000 0.363 291.25
.000 −0.369 −157.90
.000 Barrat 0.441 6.30
.036 0.361 903.74
.000 0.002 2.51
.036 Serrano 0.592 11.62
.009 0.361 700.43
.000 0.003 3.40
.009
Scale free Network Barabasi Albert Extended model
Uniform (Figure 4(a) ) Zhang 0.982 425.20
.000 0.679 40.51
.000 −0.647 −20.62
.000 Lopez-Fernandez 0.982 427.64
.000 0.680 40.42
.000 −0.651 −20.68
.000 Onnela 0.996 2269.8
.000 0.672 87.61
.000 −0.685 −47.64
.000 Barrat 0.106 0.94
.360 0.655 356.43
.000 0.003 0.97
.360 Serrano 0.096 0.85
.382 0.655 162.16
.000 0.007 0.92
.382
Normal
(Figure 4(b) ) Zhang 0.998 3375.04
.000 0.652 109.14
.000 −0.650 −58.09
.000 Lopez-Fernandez 0.998 3510.74
.000 0.652 111.18
.000 −0.651 −59.25
.000 Onnela 1 25056.87
.000 0.656 296.79
.000 −0.655 −158.29
.000 Barrat 0.016 0.12
.729 0.655 368.55
.000 0.001 0.35
.729 Serrano 0.018 0.15
.709 0.655 170.56
.000 0.003 0.38
.709
Exponential (Figure 4(c) ) Zhang 0.999 13635.34
.000 0.656 215.18
.000 −0.667 −116.77
.000 Lopez-Fernandez 0.999 13883.08
.000 0.656 216.88
.000 −0.668 −117.82
.000 Onnela 1 21450.54
.000 0.658 269.45
.000 −0.670 −146.46
.000 Barrat 0.119 1.07
.330 0.656 745.78
.000 0.002 1.03
.330 Serrano 0.088 0.77
.405 0.655 388.73
.000 0.003 0.87
.405