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()`