On 01/20/2014 11:48 AM, Jyoti Yadav wrote:
Hi Sebastian...

while referring the paper,paper talks about the normalization of L(G)
matrix..Below is the few lines from the paper which talks about it..


Computing Normalization Factors. The ith element of the
diagonal matrix D contains the sum of ith column of L(G).
D is used to column-normalize L(G) so that the resulting
matrix can be used for the power iteration. The ’./’ in line 5
represents the element-wise inverse operation.

Ah I see. You're right conceptually this is the same as normalizing L(G), although this is not explicitly done in Algorithm 2 shown in the paper.



One more question...

Is LineRank algo is applicable to undirected and weighted  graph?

The paper explicitly mentions that LineRank is applicable to weighted graphs. Furthermore, you can transform any undirected to a directed graph by substituting an undirected edge by two directed ones.

Regarding your problems with convergence, I can give you access to my matlab code and some toy data that it converges on, so that you can test your implementation.

--sebastian



Thanks




On Mon, Jan 20, 2014 at 2:40 PM, Sebastian Schelter <s...@apache.org> wrote:

Jyoti,

We started with a Matlab implementation on a small example graph and saw
the algorithm converge. I don't think that the paper mentions that you have
to normalize the matrix in a certain way.

In the standard power iteration, the vector that estimates the principal
eigenvector has to be rescaled to unit length. IIRC this is also done in
the LineRank algorithm in the paper.

--sebastian



On 01/20/2014 10:04 AM, Jyoti Yadav wrote:

Hi Sebastian..
I code this algorithm,but while running,it is not converging..
One more question,for power iteration.is it necessary to column normalize
the matrix or we can work with row normalized matrix?

Thanks
Jyoti


On Mon, Jan 20, 2014 at 1:45 PM, Sebastian Schelter <s...@apache.org>
wrote:

  I have a student working on an implementation, do you have questions?


On 01/20/2014 08:11 AM, Jyoti Yadav wrote:

  Hi..
Is there anyone who is working with linerank algorithm??

Thanks
Jyoti








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