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MuxViz is based on R and GNU Octave, running on Windows, Linux and Mac OS X.
It is released under GNU GPL v3: it is open-source and free.

     


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You can join the Google Group dedicated to muxViz to report bugs, suggest improvements and/or give your contribution to the development of muxViz.

The multilayer analysis and visualization platform.

MuxViz is a framework for the multilayer analysis and visualization of networks. It allows an interactive visualization and exploration of multilayer networks, i.e., graphs where nodes exhibit multiple relationships simultaneously. It is suitable for the analysis of social networks exhibiting relationships of different type (e.g., family, work, etc) or interactions on different platforms (Twitter, Facebook, etc), biological networks characterized by different type of interactions (e.g., electric, chemical, etc, or allelic, non-allelic, etc), transportation networks consisting of different means of transport (e.g., trains, bus, etc), to cite just some of the possible applications.


Reference

Multilayer analysis and visualization of network

Multilayer relationships among and information about biological entities must be accompanied by the means to analyze, visualize, and obtain insights from such data. We report a methodology and a collection of algorithms for the analysis of multilayer networks in our new open-source software (muxViz). We demonstrate the ability of muxViz to analyze and interactively visualize multilayer data using empirical genetic and neuronal networks.

(Published in Journal of Complex Networks) Open Access

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News

>> The new upcoming version of muxViz includes updates and new cool features!



>> You can join the Google Group dedicated to muxViz to report bugs, suggest improvements and/or give your contribution to the development of muxViz.

Click here for the forum

Contact

Manlio De Domenico


Postdoctoral Research Fellow.
Dept. Enginyeria Informatica i Matematiques (Computer Science - Mathematics)
Universidad Rovira i Virgili.

Phone: (+34) 977 55 9721
Fax: (+34) 977 55 9710
E-mail: manlio.dedomenico@urv.cat
Web: http://deim.urv.cat/~manlio.dedomenico




   

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