sim.network: Simulating network data

In ahoundetoungan/PartialNetwork: Estimating Peer Effects Using Partial Network Data

Simulating network data

Description

Simulating network data

Usage

sim.network(dnetwork, normalise = FALSE)

Arguments

dnetwork	is a list of sub-network matrices, where the (i, j)-th position of the m-th matrix is the probability that i be connected to j, with i and j individuals from the m-th network.
normalise	boolean takes TRUE if the returned matrices should be row-normalized and FALSE otherwise.

Value

list of (row-normalized) adjacency matrices.

See Also

sim.dnetwork

Examples

# Generate a list of adjacency matrices
## sub-network size
N         <- c(250, 370, 120)  
## distribution
dnetwork  <- lapply(N, function(x) matrix(runif(x^2), x))
## network
G         <- sim.network(dnetwork)

ahoundetoungan/PartialNetwork documentation built on March 15, 2024, 4:35 p.m.