On Thu, May 17, 2012 at 11:02 PM, Sebastian Schelter <s...@apache.org> wrote:
> you are completely right. I also started implementing RWR today
> coincidently, could you file a JIRA ticket for RWR? I would attach my
> work done so far and we could work a little on the code.
> I think that a lot of things need improvement in the PageRank/RWR
> implementation, e.g. stuff like the teleportation probability should be
> configurable. Furthermore you shouldn't have to specify the number of
> supersteps that need to be executed, but convergence should be checked
> somehow via an aggregator.
> On 17.05.2012 22:58, Gianmarco De Francisci Morales wrote:
> > Hi Giraphers,
> > I am implementing a Random Walk with Restart on Giraph.
> > As far as I have understood, the only thing needed would be to modify
> > PageRank in order to take into account the preference vector.
> > This means all random jumps get back to the source of the RWR.
> > In practice, in org/apache/giraph/examples/SimplePageRankVertex.java the
> > new vertex value is computed as:
> > DoubleWritable vertexValue = new DoubleWritable((0.15f /
> > getNumVertices()) + 0.85f * sum);
> > And the only thing I should do to implement the RWR is
> > if ( myID == sourceID )
> > DoubleWritable vertexValue = new DoubleWritable((0.15f + 0.85f *
> > else
> > DoubleWritable vertexValue = new DoubleWritable(0.85f * sum);
> > Because all the random jumps converge on the single source.
> > Am I correct or am I missing something?
> > Cheers,
> > --
> > Gianmarco