Reconstructing a complex financial network using compressed sensing based on low-frequency time series data

•A new compressed sensing process is built to apply in reconstructing financial networks.•The reconstructed network is closer to the high-frequency network than the low-frequency network.•The reconstructed network can be used as a substitute to analyze the characteristics of the economic network.•Compared with classical reconstruction methods, compressed sensing network reconstruction improves the reconstruction accuracy.