Towards data-driven identification and control of complex networks

enables the conversion from the network reconstruction problem to the sparse signal reconstruction problem. However, implementing the conversion is highly non-trivial, especially when binary time series are used. Wang’s group presented an interesting method based on Hamming distance to identify a set of base strings and their associated subordinate strings in binary time series. Combining each base string and its subordinate strings gives rise to a set of equations, the solution of which pertains to the network structure and can be optimized by exploiting some standard compressive