DiagrammeR (version 0.9.2)

get_leverage_centrality: Get leverage centrality

Description

Get the leverage centrality values for all nodes in the graph. Leverage centrality is a measure of the relationship between the degree of a given node and the degree of each of its neighbors, averaged over all neighbors. A node with negative leverage centrality is influenced by its neighbors, as the neighbors connect and interact with far more nodes. A node with positive leverage centrality influences its neighbors since the neighbors tend to have far fewer connections.

Usage

get_leverage_centrality(graph)

Arguments

graph

a graph object of class dgr_graph.

Value

a data frame with leverage centrality values for each of the nodes.

Examples

# NOT RUN {
# Create a random graph
graph <-
  create_random_graph(
    n = 10, m = 22,
    set_seed = 23)

# Get leverage centrality values for
# all nodes in the graph
get_leverage_centrality(graph)
#>    id leverage_centrality
#> 1   1         -0.16498316
#> 2   2         -0.05555556
#> 3   3         -0.16498316
#> 4   4         -0.30000000
#> 5   5         -0.05555556
#> 6   6          0.11111111
#> 7   7         -0.16498316
#> 8   8         -0.47089947
#> 9   9         -0.05555556
#> 10 10         -0.05555556

# Add the leverage centrality values
# to the graph as a node attribute
graph <-
  graph %>%
  join_node_attrs(
    df = get_leverage_centrality(.)) %>%
  drop_node_attrs(node_attr = value)

# Display the graph's node data frame
get_node_df(graph)
#>    id type label leverage_centrality
#> 1   1 <NA>     1         -0.16498316
#> 2   2 <NA>     2         -0.05555556
#> 3   3 <NA>     3         -0.16498316
#> 4   4 <NA>     4         -0.30000000
#> 5   5 <NA>     5         -0.05555556
#> 6   6 <NA>     6          0.11111111
#> 7   7 <NA>     7         -0.16498316
#> 8   8 <NA>     8         -0.47089947
#> 9   9 <NA>     9         -0.05555556
#> 10 10 <NA>    10         -0.05555556
# }