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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