Thanks Tiago for a quick reply,

I found a bug in the way I was doing it for my big graph. Now I am getting
the correct value. Sorry for this.

Regards
Snehal

On Sat, Oct 8, 2016 at 4:20 PM, Tiago de Paula Peixoto <[email protected]>
wrote:

> On 08.10.2016 11:44, Snehal Shekatkar wrote:
> > Hello all,
> >
> > Somehow I am getting only a half of the actual value when I try to
> calculate
> > the average clustering of the graph. For example, consider the following:
> >
> >     G = gt.Graph(directed = False)
> >     G.add_edge_list([(0, 1), (0, 2), (1, 2)])
> >
> >     clust = gt.local_clustering(G)
> >     C_ave = gt.vertex_average(G, clust)
> >     print(C_ave)
> >
> > Since the graph is simply an undirected triangle, we should getC_ave =
> > 1.However, I get C_ave = 0.5. Am I missing something obvious?
>
>
> If I run the above code I get: (1.0, 0.0)
>
>
> --
> Tiago de Paula Peixoto <[email protected]>
>
>
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>
>


-- 




Snehal Madhukar Shekatkar
Pune
India
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