artificial_networks: 10 Simulated Networks of Order 2000 with Polylogarithmic...
In Nezafati/snowboot: Bootstrap Methods for Network Inference

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A list called "artificial_networks". The length of the list is 10, and each element is a network object of order 2000. These networks were simulated using the polylogarithmic (aka Gutenberg–Richter law) degree distribution with parameters δ = 0.1 and λ = 2 as shown in the following equations:

f(k)=k^-δ exp(-k/λ )/Li[δ](exp(-1/λ)),

Li[δ](z)=∑_{j=1}^{∞} z^{-j}/{j^{δ}},

where λ > 0 \insertCite@see @newman_etal_2001, @gel_etal_2017, and @chen_etal_2018_snowboot for detailssnowboot.

1	artificial_networks

A list containing 10 network objects. Each network object is a list with three elements:

degree: the degree sequence of the network, which is an integer vector of length n;
edges: the edgelist, which is a two-column matrix, where each row is an edge of the network;
n: the network order (number of nodes in the network). The order is 2000.