To this end, we consider weighted centering, a variation of centering in which each object is associated with a weight, and the origin is shifted to the weighted mean of the data.
we define the weight of an object as the sum of the similarities (inner products) between the object and all objects, regarding this sum as the index of how likely the object can be a hub.