hub.score()
was renamed to hub_score()
to create a more
consistent API.
hub.score(graph, scale = TRUE, weights = NULL, options = arpack_defaults())
The input graph.
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.
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.
A named list, to override some ARPACK options. See
arpack()
for details.