Re: [igraph] Betweenness in weighted adjacency matrix

[Tamás Nepusz]

Yup, if it's a square matrix then your code looks fine to me.

-- 
T.

On 3 May 2013, at 15:38, Marco Antoniazzi <address@hidden> wrote:

> Hi,
> 
> thank you for your answer, I didn't write the whole matrix in the table just 
> for semplication, but it is a square matrix. So everything should be fine 
> right?
> 
> thank you!
> 
> 
> 2013/5/3 Tamás Nepusz <address@hidden>
> Hi,
> 
> > Import the txt file which looks as following (The first row specifies the 
> > code for the different nodes, the other rows specifies the weights of 
> > edges).
> How come that your input file is not a square matrix? It seems to have 8 rows 
> and 13 columns -- where are the 5 missing rows and the 5 missing node names?
> 
> Otherwise what you do seems okay for me.
> 
> > IS it ok for igraph to have the name of the nodes just in the first row and 
> > not in the first column to generate an adjacency matrix? i have read 
> > somewhere it is the same as having the first column with 'A','B','C',etc
> igraph doesn't care -- it does not read your file, it reads the matrix that 
> you loaded with read.table. If the matrix looks fine in R, then it should be 
> okay for igraph as well.
> 
> > I want then to calculate the betweenness, that will return a result for 
> > each node, but I am not sure whether the weights are inserted correctly in 
> > the function.
> Seems okay for me, assuming that your input matrix is correct -- which is 
> still a bit weird for me because of the missing rows.
> 
> > Is there a way I can check the results using other programs?
> Of course -- find another program that can calculate weighted betweenness 
> scores and compare the results ;) One possible option is the NetworkX module 
> for Python if you know the Python language. (igraph also has a Python 
> interface but it would be quite useless to compare igraph in Python vs igraph 
> in R because they use the same implementation).
> 
> --
> T.
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