get_leverage_centrality {DiagrammeR} | R Documentation |
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.
get_leverage_centrality(graph)
graph |
a graph object of class
|
a data frame with leverage centrality values for each of the nodes.
# 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