art of networks at complenet
Over the years, scientists from several fields have developed a set of tools for analyzing, modelling and making predictions about complex systems using network science. Given the mathematical, computational, and statistical nature of these tools, visualizations have played a key role in network science by adding visual insight and intuition to the numerical analyses. Visualizations have also been broadly used to communicate findings, and to disseminate knowledge in the field. Broadly speaking, information visualizations can help us make sense of complex phenomena by structuring data in ways that facilitate detection of patterns and trends, and ultimately, transform data into meaningful information.
The Art of Networks III will present recent visualizations (from the past 2-3 years) of complex networks covering a broad range of topics. As in the past two editions, projects were selected from top visualization research labs and studios around the world that are producing some of the most innovative work in this area. The selected projects will be announced in December 2017.
This year’s program committee was chaired by Isabel Meirelles (OCAD University, Toronto, Canada), and included Matthew Brehmer (Microsoft Research, Redmond, WA), Marian Dörk (University of Applied Sciences Potsdam, Germany), Ronaldo Menezes (Florida Institute of Technology, Melbourne, FL), and Nicole Samay (Northeastern University, Boston, MA).
Learn more about the Art of Networks previous exhibitions here:
The Art of Networks I
The Art of of Networks II