With the deepening of the research on complex networks in recent years, based on the operational research and management of data, this paper builds a cooperation network, the network characteristics of represented by Node2Vec union, the method and complex network of academic cooperation network nodes into a low dimensional vector, and then link prediction, community detection and network stability analysis, such as experiment, finally found the characteristics of the said method has good adaptability for complex network. Based on this, the network feature learning method based on Node2Vec can be applied to network security, science of science, medical treatment and other aspects to promote the rapid development of society.

随着近年来对复杂网络研究的不断深入，在数据的运筹学和管理基础上，构建了一个合作网络，将以Node2Vec联合为代表的网络特征，学术合作网络节点的方法和复杂网络整合为一个合作网络。通过对低维向量进行链接预测，社区检测和网络稳定性分析等实验，最终发现该方法的特点对复杂网络具有良好的适应性。基于此，基于Node2Vec的网络特征学习方法可以应用于网络安全，科学，医疗等方面，以促进社会的快速发展。