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Understanding the dynamics of gas-liquid two-phase flows is a challenge in the fields of nonlinear dynamics.We first construct and analyze a recurrence network from Chens chaotic system and find that the network local statistic is feasible to characterize chaotic dynamics associated with unstable periodic orbits.Then we construct recurrence networks from gas-liquid two-phase flow experimental signals and associate the network topological statistic with the flow patte dynamics.The results indicate that the recurrence network could be a powerful tool for the dynamic characterization of experimental gas-liquid two-phase flows.