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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?
***** 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!
University of California, Berkeley
PhD Student, Sociology
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