骨干光通信网链路容易受到破坏而失效，从而导致通信故障，因此对骨干光通信网链路重要度进行识别，并根据链路重要度等级确定链路的防护等级具有重要意义。文章针对骨干光通信网拓扑层，首先计算网络的自然连通度，将拉普拉斯矩阵零特征根重数作为自然连通度的权值，定义了加权自然连通度;然后基于加权自然连通度来分析链路失效对网络抗毁性的影响，定量计算链路拓扑重要度，实现对骨干光通信网链路重要度的识别;最后，对算法流程进行说明，并以具体电力通信骨干光网络模型为例，通过仿真对比分析算法的有效性和准确性，仿真结果表明,加权自然连通度在评估链路重要度方面比自然连通度更全面合理。

The link of backbone optical communication network is easily destroyed, resulting in communication failure. Therefore, it is important to identify the link importance of backbone optical communication networks and determine the protection level of links according to the link importance. In topology of backbone optical communication network, this paper first calculates the natural connectivity of the network, and defines the weighted natural connectivity by taking the zero eigenvalues of the Laplace matrix as the weight of the natural connectivity. By analyzing the impact of link failure on network invulnerability with the weighted natural connectivity, the link topology importance is quantitatively calculated, which can realize the identification of the link importance in the backbone optical communication networks. Finally, the algorithm in this paper is expounded. Taking a model of specific power communication optical backbone network as an example, the effectiveness and accuracy of the proposed algorithm are verified by comparison with other algorithms. In addition, it is demonstrated that the weighted natural connectivity is more comprehensive and reasonable in evaluating link importance than natural connectivity.