Thanks for the help Tamas :-)

Cheers,
dksr

On Tue, Mar 19, 2013 at 4:21 PM, Tamás Nepusz <[email protected]> wrote:

> Hi,
>
> > I am trying to compute pagerank for a graph and I am getting strange
> values for pagerank. to my knowledge, the page rank values should be
> between 0 and 1 but i get very large or very small number (> 1 and < 0). I
> attach the .gml file and here is the output. Please let me know what I am
> doing wrong or is this graph some strange special case?
> So I've tried your code with an experimental branch of igraph which uses
> the excellent PRPACK package to calculate PageRank scores instead of the
> ARPACK solver. The good news is that it works flawlessly with your graph as
> well as all our test cases. The not-so-good news is that it will make its
> way into igraph 0.7 only. In the 0.6.5 version, I found that lowering the
> damping value (i.e. increasing the teleportation probability during the
> PageRank calculation) seemed to resolve the stability issues for your
> particular graph; for instance, g.pagerank(damping=0.75) seems to work
> reliably:
>
> >>> g = igraph.load(f)
> >>> for i in xrange(1000):
> ...     pr = g.pagerank(damping=0.75)
> ...     if min(pr) < 0 or max(pr) > 1:
> ...         raise ValueError("bug")
> ...
>
> The above code snippet runs fine for me, meaning that PageRank managed to
> converge in all the 1000 executions. Note that changing the damping value
> changes the value of all the PageRank scores, but the ordering of the nodes
> should be the same (I guess).
>
> Best,
> --
> Tamas
>
>
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