README.md

LFRBenchmarkGraphs

Overview

This is a package for generating Lancichinetti-Fortunato-Radicchi model benchmarks graphs, which are widely used in the study of community detection algorithms.

Installation

Installation is straightforward. First, enter Pkg mode by hitting ], and then run the following command:

pkg> add LFRBenchmarkGraphs

Example usage

Dependencies for this demo

Import the necessary packages.

using GraphMakie, CairoMakie, LFRBenchmarkGraphs, Graphs

Graph generation

Generate an example LFR graph using the LFR benchmark. The LFR benchmark is a popular benchmark for community detection algorithms. It generates graphs with a power-law degree distribution and a community structure.

g,cid = lancichinetti_fortunato_radicchi(1000, 15, 40);

Visualize graph

We use the GraphMakie package to visualize the graph, with the default layout algorithm.

f = Figure()
ax = Axis(f[1, 1], title = "LFR graph", xticklabelsvisible = false, yticklabelsvisible = false)
graphplot!(ax, g; edge_width = 0.1, node_color = cid, node_size = 6)
colsize!(f.layout, 1, Aspect(1, 1.0))
resize_to_layout!(f)
f