View source: R/add_gnm_graph.R
add_gnm_graph  R Documentation 
To an existing graph object, add a graph built according to the ErdosRenyi
G(n, m) model. This uses the same constant probability when creating the
fixed number of edges. Thus for n
nodes there will be m
edges and, if the
loops
argument is set as TRUE
, then random loop edges will be part of
m
.
add_gnm_graph(
graph,
n,
m,
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. 
m 
The number of edges in the generated graph. 
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 GNM
# graph with 100 nodes and
# 120 edges
gnm_graph <
create_graph(
directed = FALSE) %>%
add_gnm_graph(
n = 100,
m = 120)
# Get a count of nodes
gnm_graph %>% count_nodes()
# Get a count of edges
gnm_graph %>% count_edges()
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