Kleinberg's authority centrality scores.
Kleinberg's hub centrality scores.
Usage
authority_score(
graph,
scale = TRUE,
weights = NULL,
options = arpack_defaults()
)
hub_score(graph, scale = TRUE, weights = NULL, options = arpack_defaults())
Arguments
- graph
The input graph.
- scale
Logical scalar, whether to scale the result to have a maximum score of one. If no scaling is used then the result vector has unit length in the Euclidean norm.
- weights
Optional positive weight vector for calculating weighted scores. If the graph has a
weight
edge attribute, then this is used by default. This function interprets edge weights as connection strengths. In the random surfer model, an edge with a larger weight is more likely to be selected by the surfer.- options
A named list, to override some ARPACK options. See
arpack()
for details.
See also
Centrality measures
alpha_centrality()
,
betweenness()
,
closeness()
,
diversity()
,
eigen_centrality()
,
harmonic_centrality()
,
hits_scores()
,
page_rank()
,
power_centrality()
,
spectrum()
,
strength()
,
subgraph_centrality()