generate_graph: Generate a random graph

In b2slab/diffusion: Diffusion scores on biological networks

Description

Function generate_graph generates a random network using igraph graph generators. Several models are available, and

Usage

generate_graph(
    fun_gen,
    param_gen,
    class_label = NULL,
    class_attr = .default_graph_param(),
    fun_curate = .connect_undirected_graph,
    seed = NULL
)

Arguments

fun_gen	function to generate the graphs. Typically from igraph, like barabasi.game, watts.strogatz.game, erdos.renyi.game, make_lattice, etc.
param_gen	list with parameters to pass to fun_gen
class_label	character vector with length equal to the number of nodes in the graph to generate. If left to NULL, the default classes are c("source", "filler", "end") with proportions of c(0.05, 0.45, 0.5).
class_attr	data.frame with vertex classes as rownames and a column for each vertex attribute. The name of the column will be used as the attribute name.
fun_curate	function to apply to the graph before returning it. Can be set to identity or NULL to skip this step. By default, the graph is connected: nodes not belonging to the largest connected component are randomly wired to a node in it.
seed	numeric, seed for random number generator

Value

An igraph object

Examples

g <- generate_graph(
    fun_gen = igraph::barabasi.game,
    param_gen = list(n = 100, m = 3, directed = FALSE),
    seed = 1)
g

b2slab/diffusion documentation built on March 6, 2021, 2:38 a.m.