random_network: Construct Artificial Networks

In Nezafati/snowboot: Bootstrap Methods for Network Inference

Description

This function constructs an artificial network from a given distribution. Only 11 distributions are available.

Usage

random_network(n, distrib, param = NULL, degree = NULL,
  take.p = 0.05)

Arguments

n	the number of nodes in the desired network.
distrib	an atomic character representing the desired degree distribution. User may choose from 11 available distributions: "fixed", "pois", "ztpois", "geom", "nbinom", "ztgeom", "poly.log", "logarithmic", "power.law", "full" (fully connected), or "none" (no element connected).
param	the distribution parameters. If the function is "fixed", param is a vector of degrees.
degree	an optional vector of degrees that must be of length n. The default is degree = NULL.
take.p	a number between 0 and 1 representing the proportion to take for elimination with each iteration.

Value

A list consisting of:

edges	The edgelist of the network. A two column matrix where each row is an edge.
degree	The degree sequence of the network, which is an integer vector of length n.
degree.left	A vector of length n that should be all zeroes.
n	The network order. The order for every network is 2000.

Examples

a <- random_network(1000, "poly.log", c(2, 13))

Nezafati/snowboot documentation built on May 14, 2019, 8:58 a.m.