‘Spying’ on the hidden geometry of complex networks through machine intelligence

An international team of scientists led by Dr. Carlo Vittorio Cannistraci, Junior Group Leader of the Biomedical Cybernetics lab at the BIOTEChnology Center TU Dresden, has developed 'coalescent embedding': a class of algorithms that leverage machine intelligence to retrieve the hidden geometrical rules that shape the structure of complex networks. From brain connectivity to social media, 'coalescent embedding' can have a future impact on disparate fields dealing with big-network-data including biology, medicine, physics and social science.

Press release

Picture: Machine Intelligence meets complex networks (Source)