Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks [Biophysics and Computational Biology]

Extracting complex interactions (i.e., dynamic topologies) has been an essential, but difficult, step toward understanding large, complex, and diverse systems including biological, financial, and electrical networks. However, reliable and efficient methods for the recovery or estimation of network topology remain a challenge due to the tremendous scale of emerging systems...

https://ift.tt/2Mmuo3F