How to quickly and accurately identify the key nodes in complex communication networks under a known network topology has become a hot spot in recent years. In this paper， we first establish the system model of weighted networks for key node identification . Then， a key node identification method based on weighted collective influence is proposed. In this method， the collective influence is used to quantify the information transmission ability of nodes， and the weighted idea is combined to represent the critical degree of weighted network nodes. Finally， five typical types of complex network models are simulated with random weight and non-random weight， respectively. Simulation results show that the proposed method outperforms the original collective influence algorithm， and the algorithm is not sensitive to the parameter of sphere radius.