generate_peels_network: Create a random Peel network

In rsetse: Strain Elevation Tension Spring Embedding

Description

Creates an example of a network from Peel's quintet of the specified type.

Usage

generate_peels_network(
  type,
  k_values = c(1000, 500, 100),
  single_component = TRUE
)

Arguments

type	A character which is any of the capital letters A-E
k_values	An integer vector. The spring constant for the edge types within sub class, within class but not sub-class, between classes. The default value is 1000, 500, 100. This means the strongest connection is for nodes in the same sub-class and the weakest connection is for nodes in different classes
single_component	Logical. Guarantees a single component network. Set to TRUE as default

Details

This function generates networks matching the 5 types described in Peel et al 2019 (doi: 10.1073/pnas.1713019115). All networks have 40 nodes, 60 edges, two node classes and four node sub-classes. The connections between the are equal across all 5 types. As a result all networks generated have identical assortativity. However, as the sub-classes have different connection probability the structures produced by the networks are very different. When projected into SETSe space the network types occupy there own area, see Bourne 2020 (doi: 10.1007/s41109-020-00329-4) for details.

Value

An igraph object that matches one of the 5 Peel's quintet types. The nodes are labeled with class and sub class. The edges have attribute k which is the spring constant of the edge given relationship between the nodes the edge connects to

Examples

set.seed(234)
g <- generate_peels_network(type = "E")
plot(g)

rsetse documentation built on June 11, 2021, 5:07 p.m.