ZipfR is for Large Number of Rare Events (LNRE) modeling of lexical distributions. So its parameters are named related to the lexicon.
N = sample size.
V = vocabular size.
Number of types (Vm) per frequency class (m).
The question is how to specify gamma for the power-law network model?
ZipfR limits alpha in ZM model between 0 and 1, this seems to be a major problem for biology network simulation that often have power-law coefficient between 2 and 3.
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