Table 2.

Power law scaling parameter estimates and uncertainty estimates from the bootstrap procedure. Note that the bootstrap procedure was conducted for each simulated network; the means and standard deviations of estimates are shown in the table.

	xmin		α		Mean Bootstrapped α		SD Bootstrapped α		KS-Statistic		p-Value
Network	M	SD	M	SD	M	SD	M	SD	M	SD	M	SD
PATT	2.09	2.27	1.45	0.06	1.55	0.08	0.36	0.14	0.11	0.02	0.74	0.16
Inverse PATT	9.98	10.97	1.42	0.15	1.70	0.24	0.74	0.26	0.25	0.02	0.34	0.08
Random	10.51	13.51	1.49	0.17	1.68	0.20	0.67	0.23	0.19	0.02	0.52	0.15
PATT/Inverse PATT
200/800	1.14	0.51	1.34	0.03	1.47	0.05	0.40	0.07	0.16	0.02	0.60	0.13
400/600	1.13	0.40	1.39	0.03	1.51	0.04	0.40	0.08	0.12	0.02	0.72	0.18
600/400	1.28	0.80	1.41	0.04	1.51	0.05	0.37	0.09	0.11	0.02	0.76	0.16
200/800	1.34	0.89	1.42	0.04	1.52	0.05	0.35	0.09	0.11	0.02	0.73	0.19
Inverse PATT/PATT
200/800	8.50	6.87	1.56	0.13	1.72	0.15	0.63	0.18	0.15	0.02	0.70	0.20
400/600	18.07	14.73	1.64	0.20	1.84	0.21	0.81	0.26	0.17	0.02	0.67	0.19
600/400	23.40	20.21	1.65	0.25	1.87	0.26	0.86	0.28	0.20	0.02	0.59	0.18
200/800	24.34	27.48	1.61	0.29	1.84	0.28	0.84	0.29	0.23	0.02	0.48	0.14

Legend: M = mean; SD = standard deviation; KS = Kolmogorov–Smirnov; PATT = preferential attachment.