Re: [igraph] Error with betweenness() for weighted graph

[Manisha]

Hi Tamàs,

Thanks for your reply. I am sorry for responding so late but I just
continued with the unweighted graph for the time being.
But I will definitely try the solution you have given and let you know
if it works or not. thanks again.

Regards,
Manisha


On Feb 15, 9:31 pm, Tamás Nepusz <address@hidden> wrote:
> Oh, I forgot to mention: the workaround for the time being is to calculate 
> the betweenness score for all the vertices and then extract the value 
> corresponding to "a" from the result vector:
>
> scores = g.betweenness(weights="weight")
> print scores[g.vs.find("a").index]
>
> This won't take longer than calculating the betweenness for "a" only because 
> the betweenness calculation needs to find all the shortest paths in the graph 
> even if you want the betwenness of a single node only.
>
> --
> T.
>
> On 8 Feb 2013, at 16:29, Manisha <address@hidden> wrote:
>
>
>
>
>
>
>
>
>
> > Hello friends,
>
> > This is the first time I am using Igraph and I am trying to get some
> > information on a weighted graph using the functions available. I want
> > to get the betweenness centrality for a node in the graph by passing
> > node names as parameter. Here is my graph
>
> >>>> g=ig.Graph()
> >>>> g.add_vertices(['a','b','c','d'])
> >>>> g.add_edge('a','b',weight=0.2)
> >>>> g.add_edge('b','c',weight=0.2)
> >>>> g.add_edge('c','d',weight=0.5)
> >>>> g.add_edge('b','d',weight=0.1)
>
> > It works well if I test on unweighted graph i.e.
> >>>> g.betweenness('a')
>
> > But when I try to execute the same function selecting the weight
> > attribute on edge
>
> >>>> g.betweenness('a', weights='weight')
>
> > It gives some kind of error and blocks my python interpreter. Below is
> > the message it is showing
>
> > *** glibc detected *** python: corrupted double-linked list:
> > 0x000000001a6c8b10 ***
>
> > Can anybody understand this and please help me understand what's wrong
> > and correct it?
> > I will be really thankful for any help.
>
> > Regards,
> > Manisha
>
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> > address@hidden
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>
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