grow_SW: Grow a Small-World Network

In langendorfr/netcom: NETwork COMparison Inference

Grow a Small-World Network

Description

Grows an already existing network by adding a node according to the Small-World mechanism. Nodes can only attach to previously grown nodes.

Usage

grow_SW(matrix, x, rewire, connected = FALSE, retcon = FALSE, directed = TRUE)

Arguments

matrix	Existing network to experience growth.
x	The ID of the node to be grown.
rewire	Small-World parameter specifying the probability each edge is randomly rewired, allowing for the possiblity of bridges between connected communities.
connected	Binary argument determining if the newly grown node has to be connected to the existing network. Defaults to FALSE, to prevent rare computational slow-downs when it is unlikely to create a connected network. Defaults to False.
retcon	Binary variable determining if already existing nodes can attach to new nodes. Defaults to FALSE.
directed	Binary variable determining if the network is directed, resulting in off-diagonal asymmetry in the adjacency matrix. Defaults to TRUE.

Details

Grows a node in a network according to the Small-World mechanism.

Value

An adjacency matrix.

References

Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’networks. nature, 393(6684), 440-442.

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 <- grow_SW(matrix = new_network_prep, x = size + 1, rewire = 0.213)

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