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Re: [igraph] best method of preserving network interactions in a 2D map?
From: |
Gábor Csárdi |
Subject: |
Re: [igraph] best method of preserving network interactions in a 2D map? |
Date: |
Thu, 18 Aug 2011 12:15:37 +0200 |
On Sun, Aug 14, 2011 at 9:35 PM, James T Metz <address@hidden> wrote:
>
> Igraph List,
>
> Suppose I have a set of interactions e.g., similarities or distances
> where distance = 1 - similarity
> for a set of nodes. I can read in those interactions, generate a network
> and output the 2D coordinates.
>
> Suppose I would like to preserve the input similarities (or
> distances) as much as possible so that
> if I computed the Euclidean distances from the resulting network 2D
> coordinates, I would get an excellent
> agreement with the original input distances (similar to multidimensional
> scaling).
>
> Is this possible using the igraph package? If so, what functions
> and options should be used.
If you use R, then you don't need igraph for this, see the cmdscale() function.
Gabor
[...]
--
Gabor Csardi <address@hidden> MTA KFKI RMKI