simnetwork: Simulating Network Data
In CDatanet: Econometrics of Network Data

simnetwork

R Documentation

Simulating Network Data

Description

simnetwork generates adjacency matrices based on specified probabilities.

Usage

simnetwork(dnetwork, normalise = FALSE)

Arguments

`dnetwork`	A list of sub-network matrices, where the (i, j)-th position of the m-th matrix represents the probability that individual `i` is connected to individual `j` in the m-th network.
`normalise`	A boolean indicating whether the returned matrices should be row-normalized (`TRUE`) or not (`FALSE`).

Value

A list of (row-normalized) adjacency matrices.

Examples

# Generate a list of adjacency matrices
## Sub-network sizes
N         <- c(250, 370, 120)  
## Probability distributions
dnetwork  <- lapply(N, function(x) matrix(runif(x^2), x))
## Generate networks
G         <- simnetwork(dnetwork)

CDatanet documentation built on April 3, 2025, 11:07 p.m.