PureRank computes a unique importance score vector for directed networks without user parameters by SCC-based node classification into recurrent/transient/dangling classes and RDI-guided parameter choice in the Katz equation per class.
SNAP Datasets: Stanford large network dataset col- lection, June 2014
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PureRank: A parameter-free recursive importance measure for network nodes
PureRank computes a unique importance score vector for directed networks without user parameters by SCC-based node classification into recurrent/transient/dangling classes and RDI-guided parameter choice in the Katz equation per class.