artificial_networks {snowboot} | R Documentation |
10 Simulated Networks of Order 2000 with Polylogarithmic (0.1, 2) Degree Distributions
Description
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
and
as shown in the following equations:
where
(see Newman et al. 2001, Gel et al. 2017, and Chen et al. 2018 for details).
Usage
artificial_networks
Format
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
;
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.
References
Chen Y, Gel YR, Lyubchich V, Nezafati K (2018).
“Snowboot: bootstrap methods for network inference.”
The R Journal, 10(2), 95–113.
doi: 10.32614/RJ-2018-056.
Gel YR, Lyubchich V, Ramirez Ramirez LL (2017).
“Bootstrap quantification of estimation uncertainties in network degree distributions.”
Scientific Reports, 7, 5807.
doi: 10.1038/s41598-017-05885-x.
Newman MEJ, Strogatz SH, Watts DJ (2001).
“Random graphs with arbitrary degree distributions and their applications.”
Physical Review E, 64(2), 026118.
doi: 10.1103/PhysRevE.64.026118.