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***** To join INSNA, visit http://www.insna.org ***** Andrei, A very good option for Python is networkx (NX), which I use heavily in my work. NX has a gallery of visualizations. Perhaps you can find there something which meet your needs: http://networkx.lanl.gov/gallery.html You can also hack the NX layout methods to account for the weights any way you want to. Cheers, -Sasha. On Tue, May 17, 2011 at 3:19 PM, Andrei Boutyline < [log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** Thanks a lot to > everybody who responded! SOCNET is always so wonderfully helpful. > > Looks like there are a whole lot of options for doing this. I am going to > give a number of these a try. If I find that something works especially > well for displaying these kinds of networks, I'll report back to the list. > > Andrei > > > On Tue, May 17, 2011 at 5:21 AM, Carl Nordlund <[log in to unmask]>wrote: > >> Several years ago I experimented with spring-embedding algorithms and >> wrote a couple of java applet. I have also written a C# (Windows) client >> program to visualize the social network of the people attending my PhD >> graduation party, but that one was just an ordinary 2d-open type without >> calculating Kruskal stress indices. >> >> I did an applet prototype that allows data to be displayed in a variety of >> spring-embedding ways - open 2d, open 3d, closed 2d (i.e. on the surface of >> a sphere) - and they work well for dense, weighted networks with many nodes. >> Also, the spring-embedders calculate Kruskal stress indices - although >> spring-embedders generally doesn't arrive at the optimum minimum for stress, >> you can tweak the parameters to minimize this value. >> >> At that time, I primarily worked with international trade flow data which >> are also typically very dense and have huge value spans. >> >> The program is located here: >> http://demesta.com/sph_dev/test2/ >> >> If you could send me your data, preferably in a syntax like this: >> http://www.demesta.com/sph_dev/test2/data/migflows.txt >> ...I can install it on the server so you can experiment with the applet to >> see whether it yields any good output. >> >> Or a simple csv-textfile should also work - I can then convert into my >> format. >> >> Yours, >> Carl >> >> Dr Carl Nordlund >> carl.nordlund(at)hek.lu.se >> Human Ecology Division, Lund university >> www.hek.lu.se >> ------------------------------ >> *Från:* Social Networks Discussion Forum [[log in to unmask]] för >> Andrei Boutyline [[log in to unmask]] >> *Skickat:* den 17 maj 2011 05:49 >> *Till:* [log in to unmask] >> *Ämne:* [SOCNET] Plotting weighted networks in R or Python? >> >> ***** 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.) >> >> Thanks a lot! >> Andrei >> >> -- >> Andrei Boutyline >> University of California, Berkeley >> PhD Student, Sociology >> www.ocf.berkeley.edu/~andrei <http://www.ocf.berkeley.edu/%7Eandrei> >> _____________________________________________________________________ >> 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. >> > > > > -- > Andrei Boutyline > University of California, Berkeley > PhD Student, Sociology > www.ocf.berkeley.edu/~andrei <http://www.ocf.berkeley.edu/%7Eandrei> > _____________________________________________________________________ > 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. > -- Alexander "Sasha" Gutfraind Theoretical Division Los Alamos National Lab http://www.cam.cornell.edu/~gfriend/ _____________________________________________________________________ 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.