The essence of big data may be the science of complex network, which should be one of the basic theories of big data, and the direct object of mobile communication network is big data. The purpose of this paper is to study the evaluation method of communication network robustness based on the combination of cloud edge computer and big data. Firstly, the technical system of big data technology and the basic concept and model of complex network are studied. Secondly, it analyzes the robustness of single-layer network and multi-layer network to lay a solid foundation for the following experiments. Set up the experiment code, and test each experiment several times to get the final data. The experimental results show that the change of R (LCC) from 0 to non-0 occurs at the reciprocal of the average for different network averages, that is, the critical value of network robustness P is equal to the reciprocal of the average. Random networks are not robust to regular networks. Even if the average order of the random network is the same as that of the regular network, the random network is not robust to the regular network. There are 5 × 10⁴ nodes in each of the random networks ER1 and ER2. ER1 and ER2 are one to one connected. The average value of ER1 is set to be the same as the average value of ER2. The multi-layer random network is not stable without single-layer random network.

大数据的本质可能是复杂网络的科学，应该是大数据的基本理论之一，而移动通信网络的直接对象就是大数据。本文旨在研究基于云边缘计算机和大数据相结合的通信网络鲁棒性评估方法。首先，研究了大数据技术体系，复杂网络的基本概念和模型。其次，分析了单层网络和多层网络的鲁棒性，为后续实验奠定了坚实的基础。设置实验代码，并多次测试每个实验以获取最终数据。实验结果表明R的变化从0到非0的（LCC）发生在不同网络平均值的平均值的倒数，即网络健壮性的临界值P等于平均值​​的倒数。随机网络对常规网络不强健。即使随机网络的平均阶数与常规网络的阶数相同，随机网络对常规网络的鲁棒性也不强。每个随机网络ER1和ER2中有5×10 ^4个节点。ER1和ER2是一对一连接的。ER1的平均值被设置为与ER2的平均值相同。没有单层随机网络，多层随机网络将不稳定。