Description Usage Arguments Value Functions See Also Examples
This set of graph games creates graphs directly through sampling of different attributes, topologies, etc. The nature of their algorithm is described in detail at the linked igraph documentation.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  play_degree(out_degree, in_degree = NULL, method = "simple")
play_dotprod(position, directed = TRUE)
play_fitness(m, out_fit, in_fit = NULL, loops = FALSE, multiple = FALSE)
play_fitness_power(
n,
m,
out_exp,
in_exp = 1,
loops = FALSE,
multiple = FALSE,
correct = TRUE
)
play_erdos_renyi(n, p, m, directed = TRUE, loops = FALSE)
play_geometry(n, radius, torus = FALSE)

out_degree, in_degree 
The degrees of each node in the graph 
method 
The algorithm to use for the generation. Either 
position 
The latent position of each node by column. 
directed 
Should the resulting graph be directed 
m 
The number of edges in the graph 
out_fit, in_fit 
The fitness of each node 
loops 
Are loop edges allowed 
multiple 
Are multiple edges allowed 
n 
The number of nodes in the graph. 
out_exp, in_exp 
Power law exponent of degree distribution 
correct 
Use finite size correction 
p 
The probabilty of an edge occuring 
radius 
The radius within which vertices are connected 
torus 
Should the vertices be distributed on a torus instead of a plane 
A tbl_graph object
play_degree
: Create graphs based on the given node degrees. See
igraph::sample_degseq()
play_dotprod
: Create graphs with link probability given by the
dot product of the latent position of termintating nodes. See
igraph::sample_dot_product()
play_fitness
: Create graphs where edge probabilities are
proportional to terminal node fitness scores. See igraph::sample_fitness()
play_fitness_power
: Create graphs with an expected powerlaw degree
distribution. See igraph::sample_fitness_pl()
play_erdos_renyi
: Create graphs with a fixed edge probability or
count. See igraph::sample_gnp()
and igraph::sample_gnm()
play_geometry
: Create graphs by positioning nodes on a plane or
torus and connecting nearby ones. See igraph::sample_grg()
Other graph games:
component_games
,
evolution_games
,
type_games
1  plot(play_erdos_renyi(20, 0.3))

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