Ranking of data

Ranking of data means global maximization based on the scores of the nodes, which is easy, or on the local rankings. The latter might be thought of as a flow, a discrete vector field, or a 1-form $g$. If $g=df$ (i.e. g is exact), we're done. Indeed f is the global ratings function. If not use Hodge decomposition to get f.

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