add_islands_graph: Create a random islands graph with edges between the islands

In DiagrammeR: Graph/Network Visualization

Create a random islands graph with edges between the islands

Description

To an existing graph object, add several Erdos-Renyi random graphs (the islands) using a common set of parameters, connected together by a fixed number of edges.

Usage

add_islands_graph(
  graph,
  n_islands,
  island_size,
  p,
  edges_between,
  type = NULL,
  label = TRUE,
  rel = NULL,
  node_aes = NULL,
  edge_aes = NULL,
  node_data = NULL,
  edge_data = NULL,
  set_seed = NULL
)

Arguments

graph	A graph object of class dgr_graph.
n_islands	The number of islands in the generated graph.
island_size	The size of the islands in the generated graph.
p	The probability of there being edges between the islands.
edges_between	The number of edges between islands.
type	An optional string that describes the entity type for all the nodes to be added.
label	A logical value where setting to TRUE ascribes node IDs to the label and FALSE yields a blank label.
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 node_aes() is strongly recommended for use here as it contains arguments for each of the accepted node aesthetic attributes (e.g., shape, style, color, fillcolor).
edge_aes	An optional list of named vectors comprising edge aesthetic attributes. The helper function edge_aes() is strongly recommended for use here as it contains arguments for each of the accepted edge aesthetic attributes (e.g., shape, style, penwidth, color).
node_data	An optional list of named vectors comprising node data attributes. The helper function node_data() is strongly recommended for use here as it helps bind data specifically to the created nodes.
edge_data	An optional list of named vectors comprising edge data attributes. The helper function edge_data() is strongly recommended for use here as it helps bind data specifically to the created edges.
set_seed	Supplying a value sets a random seed of the Mersenne-Twister implementation.

Examples

# Create a graph of islands
islands_graph <-
  create_graph() %>%
  add_islands_graph(
    n_islands = 4,
    island_size = 10,
    p = 0.5,
    edges_between = 1,
    set_seed = 23)

# Get a count of nodes
islands_graph %>% count_nodes()

# Get a count of edges
islands_graph %>% count_edges()

DiagrammeR documentation built on June 22, 2024, 11:21 a.m.