To an existing graph object, add a graph built according to the Erdos-Renyi 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
|
# 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()#> [1] 100#> [1] 212