View source: R/add_gnp_graph.R
add_gnp_graph  R Documentation 
To an existing graph object, add a graph built according to the ErdosRenyi G(n, p) model, which uses a constant probability when creating edges.
add_gnp_graph(
graph,
n,
p,
loops = FALSE,
type = NULL,
label = TRUE,
rel = NULL,
node_aes = NULL,
edge_aes = NULL,
node_data = NULL,
edge_data = NULL,
set_seed = NULL
)
graph 
A graph object of class 
n 
The number of nodes comprising the generated graph. 
p 
The probability of creating an edge between two arbitrary nodes. 
loops 
A logical value (default is 
type 
An optional string that describes the entity type for all the nodes to be added. 
label 
A boolean value where setting to 
rel 
An optional string for providing a relationship label to all edges to be added. 
node_aes 
An optional list of named vectors comprising node aesthetic
attributes. The helper function 
edge_aes 
An optional list of named vectors comprising edge aesthetic
attributes. The helper function 
node_data 
An optional list of named vectors comprising node data
attributes. The helper function 
edge_data 
An optional list of named vectors comprising edge data
attributes. The helper function 
set_seed 
Supplying a value sets a random seed of the

A graph object of class dgr_graph
.
# Create an undirected GNP
# graph with 100 nodes using
# a probability value of 0.05
gnp_graph <
create_graph(
directed = FALSE) %>%
add_gnp_graph(
n = 100,
p = 0.05)
# Get a count of nodes
gnp_graph %>% count_nodes()
# Get a count of edges
gnp_graph %>% count_edges()
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