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
)A graph object of class dgr_graph.
the parameter that specifies the relative importance of endogenous versus exogenous factors in the determination of centrality.
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.
an optional name of the edge attribute to use in the
adjacency matrix. If NULL then, if it exists, the weight edge attribute
of the graph will be used. Failing that, the standard adjacency matrix will
be used in calculations.
the tolerance for near-singularities during matrix inversion. The
default value is set to 1e-7.
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