add_pa_graph | R Documentation |
To an existing graph object, add a graph built according to the Barabasi-Albert model, which uses preferential attachment in its stochastic algorithm.
add_pa_graph(
graph,
n,
m = NULL,
power = 1,
out_dist = NULL,
use_total_degree = FALSE,
zero_appeal = 1,
algo = "psumtree",
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 preferential attachment graph. |
m |
The number of edges to add in each time step. |
power |
The power of the preferential attachment. The default value of
|
out_dist |
A numeric vector that provides the distribution of the number of edges to add in each time step. |
use_total_degree |
A logical value (default is |
zero_appeal |
A measure of the attractiveness of the nodes with no adjacent edges. |
algo |
The algorithm to use to generate the graph. The available options
are |
type |
An optional string that describes the entity type for all the nodes to be added. |
label |
A logical 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 PA
# graph with 100 nodes, adding
# 2 edges at every time step
pa_graph <-
create_graph(
directed = FALSE) %>%
add_pa_graph(
n = 100,
m = 1)
# Get a count of nodes
pa_graph %>% count_nodes()
# Get a count of edges
pa_graph %>% count_edges()
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