generateEdgeList: Synthetic Graph Generation

In DavidGilgien/ML.RMCL: Multi-Level Regularized Markov Clustering

Description

This function creates a synthetic graph with truth clusters properties.

Usage

generateEdgeList(k = 2, aid = 100, aed = 10, n = 1000, prob = NULL,
  directed = FALSE)

Arguments

k	integer: the number of clusters.
aid	integer: average intra-cluster degree. Poisson parameters for number of neighbors within the cluster.
aed	integer: average inter-cluster degree. Poisson parameters for number of neighbors outside the cluster.
n	integer: number of vertices in the graph.
prob	vector of size k with probabilities that a node belongs to a cluster. If omitted, all probabilities are equal 1/k.
directed	boolean value describing if the edges are directed.

Value

A graph object of class ELgraph with truth clusters.

Examples

g = generateEdgeList(n=1000)

DavidGilgien/ML.RMCL documentation built on May 6, 2019, 1:54 p.m.