2014/05/31 by Manlio De Domenico, Mason A. Porter, Alex Arenas · 1 citation
Computer Science · Physics and Astronomy · #cond-mat.dis-nn #cs.SI #physics.bio-ph #physics.soc-ph
paper · pdf · doi:10.1093/comnet/cnu038
published as Journal of Complex Networks 3, 159-176 (2015) · 18 pages, 10 figures (text of the accepted manuscript)
arxiv created 2015/06/12 · arxiv updated 2015/06/15
Multilayer relationships among entities and information about entities must be accompanied by the means to analyze, visualize, and obtain insights from such data. We present open-source software (muxViz) that contains a collection of algorithms for the analysis of multilayer networks, which are an important way to represent a large variety of complex systems throughout science and engineering. We demonstrate the ability of muxViz to analyze and interactively visualize multilayer data using empirical genetic, neuronal, and transportation networks. Our software is available at https://github.com/manlius/muxViz.