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)).

NMWDWCC ig ig ig

RandomNetwork Erdos-Renyi model Uniform (Figure 3(a))Zhang0.9941290.02 .0000.37269.09 .000−0.362−35.91 .000
Lopez-Fernandez0.9941364.86 .0000.37171.07 .000−0.362−36.94 .000
Onnela0.9972975.03 .0000.370100.35 .000−0.376−54.54 .000
Barrat0.0130.10 .7580.362657.63 .0000.000−0.31 .758
Serrano0.0000.00 .9720.362301.84 .0000.000−0.03 .972
Normal (Figure 3(b))Zhang0.99913629.46 .0000.364219.95 .000−0.362−116.74 .000
Lopez-Fernandez0.99913711.18 .0000.364220.76 .000−0.362−117.09 .000
Onnela135769.84 .0000.363352.13 .000−0.366−189.12 .000
Barrat0.0010.01 .9200.3611763.89 .0000.000−0.10 .920
Serrano0.0270.22 .6490.362888.63 .0000.000−0.47 .649
Exponential (Figure 3(c))Zhang1102303.27 .0000.362599.49 .000−0.362−319.84 .000
Lopez-Fernandez1109645.31 .0000.362619.96 .000−0.362−331.12 .000
Onnela124935.11 .0000.363291.25 .000−0.369−157.90 .000
Barrat0.4416.30 .0360.361903.74 .0000.0022.51 .036
Serrano0.59211.62 .0090.361700.43 .0000.0033.40 .009
Scale free Network Barabasi Albert Extended model Uniform (Figure 4(a))Zhang0.982425.20 .0000.67940.51 .000−0.647−20.62 .000
Lopez-Fernandez0.982427.64 .0000.68040.42 .000−0.651−20.68 .000
Onnela0.9962269.8 .0000.67287.61 .000−0.685−47.64 .000
Barrat0.1060.94 .3600.655356.43 .0000.0030.97 .360
Serrano0.0960.85 .3820.655162.16 .0000.0070.92 .382
Normal (Figure 4(b))Zhang0.9983375.04 .0000.652109.14 .000−0.650−58.09 .000
Lopez-Fernandez0.9983510.74 .0000.652111.18 .000−0.651−59.25 .000
Onnela125056.87 .0000.656296.79 .000−0.655−158.29 .000
Barrat0.0160.12 .7290.655368.55 .0000.0010.35 .729
Serrano0.0180.15 .7090.655170.56 .0000.0030.38 .709
Exponential (Figure 4(c))Zhang0.99913635.34 .0000.656215.18 .000−0.667−116.77 .000
Lopez-Fernandez0.99913883.08 .0000.656216.88 .000−0.668−117.82 .000
Onnela121450.54 .0000.658269.45 .000−0.670−146.46 .000
Barrat0.1191.07 .3300.656745.78 .0000.0021.03 .330
Serrano0.0880.77 .4050.655388.73 .0000.0030.87 .405