***** To join INSNA, visit http://www.insna.org ***** <<<-------- Andrei Boutyline-------->>> > ***** To join INSNA, visit http://www.insna.org ***** > > 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 _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.