sample_grg: Geometric random graphs

In igraph: Network Analysis and Visualization

Geometric random graphs

Description

Generate a random graph based on the distance of random point on a unit square

Usage

sample_grg(nodes, radius, torus = FALSE, coords = FALSE)

grg(...)

Arguments

nodes	The number of vertices in the graph.
radius	The radius within which the vertices will be connected by an edge.
torus	Logical constant, whether to use a torus instead of a square.
coords	Logical scalar, whether to add the positions of the vertices as vertex attributes called ‘x’ and ‘y’.
...	Passed to sample_grg().

Details

First a number of points are dropped on a unit square, these points correspond to the vertices of the graph to create. Two points will be connected with an undirected edge if they are closer to each other in Euclidean norm than a given radius. If the torus argument is TRUE then a unit area torus is used instead of a square.

Value

A graph object. If coords is TRUE then with vertex attributes ‘x’ and ‘y’.

Author(s)

Gabor Csardi [e-mail], first version was written by Keith Briggs (http://keithbriggs.info/).

See Also

Random graph models (games) erdos.renyi.game(), sample_(), sample_bipartite(), sample_chung_lu(), sample_correlated_gnp(), sample_correlated_gnp_pair(), sample_degseq(), sample_dot_product(), sample_fitness(), sample_fitness_pl(), sample_forestfire(), sample_gnm(), sample_gnp(), sample_growing(), sample_hierarchical_sbm(), sample_islands(), sample_k_regular(), sample_last_cit(), sample_pa(), sample_pa_age(), sample_pref(), sample_sbm(), sample_smallworld(), sample_traits_callaway(), sample_tree()

Examples

g <- sample_grg(1000, 0.05, torus = FALSE)
g2 <- sample_grg(1000, 0.05, torus = TRUE)

igraph documentation built on Oct. 20, 2024, 1:06 a.m.