Create random graphs using my preferred models

These are light-weight wrappers around 'tidygraph' functions to create random graphs. They return graphs with named nodes.

quick_forestfire(n, name = c(), directed = FALSE)

quick_barabasi(n, name = c(), directed = FALSE)

quick_graph(n, name = c(), directed = FALSE)

Arguments

n	number of nodes
name	node names; default is LETTERS
directed	boolean value for directed or undirected graph

Value

a tridygraph object with named nodes

Examples

set.seed(0)

forest_gr <- quick_forestfire(20)
forest_gr
#> # A tbl_graph: 20 nodes and 71 edges
#> #
#> # An undirected simple graph with 1 component
#> #
#> # Node Data: 20 x 1 (active)
#>   name 
#>   <chr>
#> 1 A    
#> 2 B    
#> 3 C    
#> 4 D    
#> 5 E    
#> 6 F    
#> # … with 14 more rows
#> #
#> # Edge Data: 71 x 2
#>    from    to
#>   <int> <int>
#> 1     1     2
#> 2     1     3
#> 3     2     3
#> # … with 68 more rows
plot(forest_gr)

barabasi_gr <- quick_barabasi(20)
barabasi_gr
#> # A tbl_graph: 20 nodes and 19 edges
#> #
#> # An undirected simple graph with 1 component
#> #
#> # Node Data: 20 x 1 (active)
#>   name 
#>   <chr>
#> 1 A    
#> 2 B    
#> 3 C    
#> 4 D    
#> 5 E    
#> 6 F    
#> # … with 14 more rows
#> #
#> # Edge Data: 19 x 2
#>    from    to
#>   <int> <int>
#> 1     1     2
#> 2     1     3
#> 3     1     4
#> # … with 16 more rows
plot(barabasi_gr)