Representation method of cooperative social network features based on Node2Vec model

Abstract 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.