Implement Random Walk with Restarts
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                 Key: MAHOUT-773
                 URL: https://issues.apache.org/jira/browse/MAHOUT-773
             Project: Mahout
          Issue Type: New Feature
          Components: Graph
    Affects Versions: 0.6
            Reporter: Sebastian Schelter
            Assignee: Sebastian Schelter


I'll create an implementation of Random Walk with Restarts as described in 
Kang, Tsourakakis, Faloutsos, "PEGASUS: A Peta-Scale Graph Mining System - 
Implementation and Observations" 
http://www.cs.cmu.edu/~christos/PUBLICATIONS/icdm09-pegasus.pdf

The algorithm is a random walk similar to PageRank with the difference that you 
start at and teleport to a certain node. The probabilities it computes can be 
seen as a measure of proximity between the start node and a reached node. To my 
knowledge RWR can be e.g used for link predicition in social networks.

I will try to create an implementation that is able to do several walks in 
parallel and I will assume that a steadystate probability vector fits in memory.

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