sample_smallworld
The Watts-Strogatz small-world model
Generate a graph according to the Watts-Strogatz network model.
- Keywords
- graphs
Usage
sample_smallworld(dim, size, nei, p, loops = FALSE, multiple = FALSE)smallworld(...)
Arguments
- 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
sample_smallworld.
Details
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.
Value
A graph object.
References
Duncan J Watts and Steven H Strogatz: Collective dynamics of ‘small world’ networks, Nature 393, 440-442, 1998.
See Also
Examples
# NOT RUN {
g <- sample_smallworld(1, 100, 5, 0.05)
mean_distance(g)
transitivity(g, type="average")
# }