Table 1 In the linear network system without control input, the reconstruction success rates by three different methods for some networks, i.e. Polbooks, Celegansneural, Dolphins, Football, Jazz, ZK, NW, WS, ER and BA, where N is the size of the network, L is the links number of network nodes, \(\langle k\rangle \) is the average sparsity of the network, nt is the ratio between the row and the column of matrix \({X}^{T}\) in Eq. (2), i.e. \(nt=P/N\), and \(P\) is the number of experiments (\(0.1N\le P\le 4N\)).

From: Reconstruction of Complex Network based on the Noise via QR Decomposition and Compressed Sensing