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ORA allows you to incrementally adjust dichotomizing thresholds in the visualizer. I have found it interesting to identify the phase transition point (where a network may go from many links to few links rather suddenly). I then analyze the network on either side of the phase transition. ORA let's you save the newly dichotmized networks. Disclaimer: not all networks have a phase transition. Ian McCulloh, PhD Sent via BlackBerry by AT&T -----Original Message----- From: Brian Keegan <[log in to unmask]> Sender: Social Networks Discussion Forum <[log in to unmask]> Date: Mon, 16 May 2011 23:07:40 To: <[log in to unmask]> Reply-To: Brian Keegan <[log in to unmask]> Subject: Re: [SOCNET] Plotting weighted networks in R or Python? ***** To join INSNA, visit http://www.insna.org ***** The short answer is to consider something like Gephi, an open-source and multi-platform SNA package. I'm not a fan of its usability/workflow, but it's impossible to not acknowledge its extensibility and ability to tweak. I'm not aware of an off-the-shelf algorithm that does spring embedding layouts based on tie strengths, but that's not to say that there isn't or couldn't be one. Have you considered dichotomizing your network at a meaningful threshold to reveal the structures among nodes with stronger ties? On Mon, May 16, 2011 at 10:48 PM, Andrei Boutyline < [log in to unmask]> wrote: > ***** 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. -- Brian C. Keegan Ph.D. Student - Media, Technology, & Society School of Communication, Northwestern University Science of Networks in Communities, Laboratory for Collaborative Technology _____________________________________________________________________ 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.