This image, created by artist Steven Lee, visualizes a new algorithm for determining important connections in complex networks.
Soheil Feizi, Steven Lee (Artist), Daniel Marbach, Muriel Medard, Manolis Kellis
Computational Biology Group
MIT Computer Science and Artificial Intelligence Laboratory
Are all connections meaningful? This image visualizes a new algorithm (known as "network deconvolution") for detetermining important relationships in complex networks. Like a filter on a camera lens, it reveals which links (lines) between interconnected elements (points) are most essential. As the lens passes over each network area, indirect links disappear and direct links become visible. Already tested on large networks mapping gene regulation, protein folding, and academic co-authorship, network deconvolution can be used to identify key drivers of biological, social, and technological systems.