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
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a data frame with leverage centrality values for each of the nodes.
# Create a random graph using the # `add_gnm_graph()` function graph <- create_graph( directed = FALSE) %>% add_gnm_graph( n = 10, m = 15, set_seed = 23) # Get leverage centrality values # for all nodes in the graph graph %>% get_leverage_centrality()#> id leverage_centrality #> 1 1 -0.1964 #> 2 2 -0.1964 #> 3 3 -0.3810 #> 4 4 0.0556 #> 5 5 -0.0556 #> 6 6 0.0556 #> 7 7 -0.1964 #> 8 8 -0.3810 #> 9 9 -0.1964 #> 10 10 -1.0000# Add the leverage centrality # values to the graph as a # node attribute graph <- graph %>% join_node_attrs( df = get_leverage_centrality(.)) # Display the graph's node data frame graph %>% get_node_df()#> id type label leverage_centrality #> 1 1 <NA> 1 -0.1964 #> 2 2 <NA> 2 -0.1964 #> 3 3 <NA> 3 -0.3810 #> 4 4 <NA> 4 0.0556 #> 5 5 <NA> 5 -0.0556 #> 6 6 <NA> 6 0.0556 #> 7 7 <NA> 7 -0.1964 #> 8 8 <NA> 8 -0.3810 #> 9 9 <NA> 9 -0.1964 #> 10 10 <NA> 10 -1.0000