stir_NM: Stirs a Niche Model Network

In langendorfr/netcom: NETwork COMparison Inference

Stirs a Niche Model Network

Description

Stirs an already existing network by rewiring a node according to the Niche Model mechanism.

Usage

stir_NM(matrix, x, niches, directed = TRUE, connectance = 0.2)

Arguments

matrix	Existing network to experience rewiring (stirring).
x	The ID of the node to be grown.
niches	Vector of length x, with values between zero and one corresponding to each node's niche.
directed	Binary variable determining if the network is directed, resulting in off-diagonal asymmetry in the adjacency matrix. Defaults to TRUE.
connectance	Niche Model parameter specifying the expected connectivity of the network, which determines for a given node the niche space window within which it attaches to every other node. Defaults to 0.2.

Details

Stirs a node in a Niche Model network.

Value

An adjacency matrix.

References

Williams, R. J., & Martinez, N. D. (2000). Simple rules yield complex food webs. Nature, 404(6774), 180-183.

Examples

# Import netcom
library(netcom)

size <- 10
existing_network <- matrix(sample(c(0,1), size = size^2, replace = TRUE), nrow = size, ncol = size)
new_network_prep <- matrix(0, nrow = size + 1, ncol = size + 1)
new_network_prep[1:size, 1:size] = existing_network
new_network <- stir_NM(
     matrix = new_network_prep, 
     x = size + 1, 
     connectance = 0.1, 
     niches = runif(size + 1)
)

langendorfr/netcom documentation built on July 23, 2022, 5:19 p.m.