0 ×


Gradoop Integration for KNIME Workbench version 1.0.0.v201911212144 by Steffen Dienst

Computation of the PageRank scores for the vertices in a logical graph. Uses the Flink Gelly implementation of PageRank and computes a per-vertex score which is the sum of PageRank scores transmitted over in-edges. Each vertex's score is divided evenly among out-edges. High-scoring vertices are linked to by other high-scoring vertices; this is similar to the 'authority' score in HITS (see http://ilpubs.stanford.edu:8090/422/1/1999-66.pdf). The current implementation excludes vertices with a degree of zero from the logical graph!


Property Key
Set the key of the property for the page rank.
Damping Factor
Set the factor for the damping.
Fixed Iterations
Select the number of fixed iterations.

Input Ports

One single logical graph.

Output Ports

Same graph with added page rank attribute on each vertex.

Best Friends (Incoming)

Best Friends (Outgoing)


To use this node in KNIME, install Gradoop-Integration from the following update site:


You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform. Browse NodePit from within KNIME, install nodes with just one click and share your workflows with NodePit Space.


You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.