Figure 3

Success rates versus different columns M and different sparsities k of matrix B for WS, NW, ER and BA networks with network size \(N=50\). These experiments select measurement data from the time \(t=350\), the input vector u is the \(M\times P\)-dimensional standard Gaussian noise, \(M=100\) and \(P=150\). The success rate is defined as the ratio between the simulation number of successful reconstruction α and the simulation number β. In these experiments, 20 simulations are performed, and the error of each simulation is \(\varepsilon < {10}^{-6}\).