The Watts-Strogatz small-world model
Generate a graph according to the Watts-Strogatz network model.
sample_smallworld(dim, size, nei, p, loops = FALSE, multiple = FALSE) smallworld(...)
dim |
Integer constant, the dimension of the starting lattice. |
size |
Integer constant, the size of the lattice along each dimension. |
nei |
Integer constant, the neighborhood within which the vertices of the lattice will be connected. |
p |
Real constant between zero and one, the rewiring probability. |
loops |
Logical scalar, whether loops edges are allowed in the generated graph. |
multiple |
Logical scalar, whether multiple edges are allowed int the generated graph. |
... |
Passed to |
First a lattice is created with the given dim, size and
nei arguments. Then the edges of the lattice are rewired uniformly
randomly with probability p.
Note that this function might create graphs with loops and/or multiple
edges. You can use simplify to get rid of these.
A graph object.
Gabor Csardi csardi.gabor@gmail.com
Duncan J Watts and Steven H Strogatz: Collective dynamics of ‘small world’ networks, Nature 393, 440-442, 1998.
g <- sample_smallworld(1, 100, 5, 0.05) mean_distance(g) transitivity(g, type="average")
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