View source: R/add_smallworld_graph.R
add_smallworld_graph | R Documentation |
To an existing graph object, add a graph built according to the Watts-Strogatz small-world model, which uses a lattice along with a rewiring probability to randomly modify edge definitions.
add_smallworld_graph(
graph,
dimension,
size,
neighborhood,
p,
loops = FALSE,
multiple = 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 |
dimension |
The dimension of the starting lattice. |
size |
The size of the lattice across each dimension. |
neighborhood |
The neighborhood where the lattice nodes are to be connected. |
p |
The rewiring probability. |
loops |
A logical value (default is |
multiple |
A logical value (default is |
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
|
A graph object of class dgr_graph
.
# Create an undirected smallworld
# graph with 100 nodes using
# a probability value of 0.05
smallworld_graph <-
create_graph(
directed = FALSE) %>%
add_smallworld_graph(
dimension = 1,
size = 50,
neighborhood = 1,
p = 0.05,
set_seed = 23)
# Get a count of nodes
smallworld_graph %>% count_nodes()
# Get a count of edges
smallworld_graph %>% count_edges()
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