This is the constructor for objects of class nvd.
Usage
nvd(
model = "smallworld",
n = 1L,
num_vertices = 25L,
model_params = list(dim = 1L, nei = 4L, p = 0.15),
seed = 1234
)Arguments
- model
A string specifying the model to be used for sampling networks (current choices are:
"sbm","k_regular","gnp","smallworld","pa","poisson"and"binomial"). Defaults to"smallworld".- n
An integer specifying the sample size. Defaults to
1L.- num_vertices
An integer specifying the order of the graphs to be generated (i.e. the number of nodes). Defaults to
25L.- model_params
A named list setting the parameters of the model you are considering. Defaults to
list(dim = 1L, nei = 4L, p = 0.15)which sets defaults parameters for the Watts-Strogatz small-world model generator.- seed
An integer specifying the random generator seed. Defaults to
1234.
Examples
smallworld_params <- list(dim = 1L, nei = 4L, p = 0.15)
nvd(model_params = smallworld_params)
#> [[1]]
#> IGRAPH 10e1798 U--- 25 100 -- Watts-Strogatz random graph
#> + attr: name (g/c), dim (g/n), size (g/n), nei (g/n), p (g/n), loops
#> | (g/l), multiple (g/l)
#> + edges from 10e1798:
#> [1] 1-- 2 2-- 3 4--13 4-- 5 5-- 6 6-- 7 7--17 8-- 9 10--19 10--11
#> [11] 1--11 12--13 13--14 14--15 15--16 16--17 17--18 18--19 19--20 2--21
#> [21] 21--22 22--23 20--23 24--25 1--25 1-- 3 1--24 1-- 4 1--23 1-- 5
#> [31] 1--22 2--25 2-- 4 2--24 2-- 5 2--23 2-- 6 5--19 3--25 3-- 6
#> [41] 3--24 3--16 4-- 6 4-- 7 4--25 4-- 8 5-- 7 5-- 8 5-- 9 8--13
#> [51] 6-- 9 6--10 7-- 9 7--10 7--11 8--10 8--11 8--23 9--11 9--12
#> [61] 9--13 10--12 10--13 5--10 11--13 11--14 6--15 12--14 12--15 12--16
#> + ... omitted several edges
#>
#> attr(,"class")
#> [1] "nvd" "list"