Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Phys Rev E. 2017 Jan;95(1-1):010301. doi: 10.1103/PhysRevE.95.010301. Epub 2017 Jan 5.
We address the long-standing challenge of how to reconstruct links in directed networks from measurements, and present a general method that makes use of a noise-induced relation between network structure and both the time-lagged covariance of measurements taken at two different times and the covariance of measurements taken at the same time. When the coupling functions have certain additional properties, we can further reconstruct the weights of the links.
我们解决了如何从测量结果中重建有向网络中连接的长期挑战，并提出了一种通用方法，该方法利用了网络结构与在不同时间采集的测量结果的时滞协方差以及在同一时间采集的测量结果的协方差之间的噪声诱导关系。当耦合函数具有某些附加属性时，我们可以进一步重建连接的权重。
