Generate a random graph based on the distance of random point on a unit square
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.
See also
Random graph models (games)
erdos.renyi.game()
,
sample_()
,
sample_bipartite()
,
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()
Random graph models (games)
erdos.renyi.game()
,
sample_()
,
sample_bipartite()
,
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()
Author
Gabor Csardi csardi.gabor@gmail.com, first version was written by Keith Briggs (http://keithbriggs.info/).