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Date: Fri, 18 May 2012 17:59:06 +0000 (UTC)
From: "Gianmarco De Francisci Morales (JIRA)" <jira@apache.org>
To: giraph-dev@incubator.apache.org
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Subject: [jira] [Commented] (GIRAPH-191) Random Walks on Graphs
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    [ https://issues.apache.org/jira/browse/GIRAPH-191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13279026#comment-13279026 ] 

Gianmarco De Francisci Morales commented on GIRAPH-191:
-------------------------------------------------------

I tested the patch and it looks like it's working.
I had to change the config parameter to add .getName() to SOURCE_VERTEX in RandomWalkWithRestartVertex.java:35
{code}
    /** Configuration parameter for the source vertex */
    static final String SOURCE_VERTEX =
            RandomWalkWithRestartVertex.class.getName() + ".sourceVertex";
{code}

Otherwise the String reads as "class blah..."

I compared some toy output with a reference implementation and it looks good!

I think the next step would be to support weighted graphs.
The graph can be made stochastic on the fly, at loading time.
Thoughts?

I will try to hack some code.

                
> Random Walks on Graphs
> ----------------------
>
>                 Key: GIRAPH-191
>                 URL: https://issues.apache.org/jira/browse/GIRAPH-191
>             Project: Giraph
>          Issue Type: New Feature
>          Components: examples
>    Affects Versions: 0.2.0
>            Reporter: Gianmarco De Francisci Morales
>         Attachments: GIRAPH-191-1.patch, GIRAPH-191.patch
>
>
> Implementing RWR on Giraph should be a very simple modification of the SimplePageRankVertex code.
> {code}
> if ( myID == sourceID )
>       DoubleWritable vertexValue = new DoubleWritable((0.15f + 0.85f * sum);
> else
>       DoubleWritable vertexValue = new DoubleWritable(0.85f * sum);
> {code}
> It would be nice to make it as configurable as possible by using parametric damping factors, preference vectors, strongly preferential, etc...
> More or less along these lines:
> http://law.dsi.unimi.it/software/docs/it/unimi/dsi/law/rank/PageRank.html

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