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<<<-------- Andrei Boutyline-------->>>
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>
> Dear all,
>
> I'm hoping somebody can point me to a good tool for laying out and
> plotting
> weighted networks. In my data, every node is connect to every other node,
> albeit with different tie strengths. So, a layout algorithm that doesn't
> take weights into account will just give me a ball of nodes. Is there a
> library for R or Python that can produce a more meaningful layout from
> such
> data? Or, in the absence of a library, is there a standalone program?
>
> (By the way, the total number of nodes in my network under 150.)
In your case to get a readable picture I would suggest you to use
a matrix display with ordering of nodes determined by clustering
or blockmodeling.
In Pajek you can produce it (in EPS) using
File/Network/Export matrix to EPS
In Python or R it is not too difficult to program it (a matrix display)
by yourself - it should be less than 30 lines of code.
In R you can also try the functions image or color2D.matplot (from the
package plotrix). Better displays you can get using ggplot2
http://learnr.wordpress.com/2010/01/26/ggplot2-quick-heatmap-plotting/
http://stats.stackexchange.com/questions/9050/how-to-display-a-matrix-of-correlations-with-missing-entries
In Python see the matplotlib - for example:
http://matplotlib.sourceforge.net/examples/pylab_examples/matshow.html
http://matplotlib.sourceforge.net/examples/pylab_examples/pcolor_small.html
http://matplotlib.sourceforge.net/examples/api/image_zcoord.html
http://matplotlib.sourceforge.net/plot_directive/mpl_examples/pylab_examples/colorbar_tick_labelling_demo.py
or
http://people.csail.mit.edu/rasmus/summon/index.shtml
Vlado
--
Vladimir Batagelj, University of Ljubljana, FMF, Department of Mathematics
Jadranska 19, 1000 Ljubljana, Slovenia
http://vlado.fmf.uni-lj.si
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