rg_tm: Random binary and weighted two-mode network

In tnet: Weighted, Two-Mode, and Longitudinal Networks Analysis

Description

Creates classical random binary and weighted two-mode networks

Usage

rg_tm(ni=100,np=100,ties=300,weights=1,seed=NULL)

Arguments

ni	Number of nodes in the first set
np	Number of nodes in the second set
ties	Number of ties; if this value is between 0 and 1, a random network where each tie is based on this probability will be produced
weights	A tie weight vector to be randomly sampled. If set to 1 (default), all tie weights will be 1, and hence a binary two-mode network will be created.
seed	the random seed. If you want it to be non-reproducable, use NULL otherwise, use a number

Value

Returns a random two-mode network

Note

version 1.0.0

Author(s)

Tore Opsahl; http://toreopsahl.com

References

Tore Opsahl. Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. arXiv:1006.0887

Examples

## Run the programme
rg_tm(ni=10,np=10,ties=20)

tnet documentation built on Feb. 25, 2020, 1:07 a.m.