Get the alpha centrality values for all nodes in the graph.
get_alpha_centrality(graph, alpha = 1, exo = 1, weights_attr = NULL, tol = 1e-07)
graph | a graph object of class
|
---|---|
alpha | the parameter that specifies the relative importance of endogenous versus exogenous factors in the determination of centrality. |
exo | the exogenous factors, in most cases this is either a constant (which applies the same factor to every node), or a vector giving the factor for every node. |
weights_attr | an optional name
of the edge attribute to use in the
adjacency matrix. If |
tol | the tolerance for
near-singularities during matrix
inversion. Default value is set to
|
a data frame with alpha centrality scores for each of the nodes.
# Create a random graph using the # `add_gnm_graph()` function graph <- create_graph() %>% add_gnm_graph( n = 10, m = 12, set_seed = 23) # Get the alpha centrality scores # for all nodes graph %>% get_alpha_centrality()#> id alpha_centrality #> 1 1 9 #> 2 2 6 #> 3 3 2 #> 4 4 1 #> 5 5 4 #> 6 6 1 #> 7 7 2 #> 8 8 2 #> 9 9 7 #> 10 10 4# Add the alpha centrality # scores to the graph as a node # attribute graph <- graph %>% join_node_attrs( df = get_alpha_centrality(.)) # Display the graph's node # data frame graph %>% get_node_df()#> id type label alpha_centrality #> 1 1 <NA> 1 9 #> 2 2 <NA> 2 6 #> 3 3 <NA> 3 2 #> 4 4 <NA> 4 1 #> 5 5 <NA> 5 4 #> 6 6 <NA> 6 1 #> 7 7 <NA> 7 2 #> 8 8 <NA> 8 2 #> 9 9 <NA> 9 7 #> 10 10 <NA> 10 4