(2) This is the OLS-estimated slope for the relationship describing how the number of nodes with a given number of in-degree edges scales with in-degree. The data (x) were transformed prior to regress
Exponents for the degree probability distribution, where γHVG is the exponent for an exponential fit of the HVG distribution and γVG for a power-law fit of the VG distribution.
Each column denoted the number (), mean (), standard deviation (), and maximum value () of observations, and the lower cut-off at which the power law no longer applies (), the slope of the power law i
k is the degree, N is the size of the network (the number of neurons; N = 100, in our networks). p is the connectivity density (p = 0.01 for Figure 7).
