Node Failures of Heterogeneous Networks Link Based on HLE-T Algorithm

Through the analysis of historical data of heterogeneous networks, the main task of this paper is to predict whether there will be failure instances under the target meta-path between the nodes to be tested in the future network. The HLE-T algorithm that dynamically combines link entropy and time is proposed. Taking into account the different effects of different nodes in the path instance and the establishment time of the path instance, the effectiveness of the HLE-T algorithm is verified on the AMiner data set of the DBLP academic network. When considering the formation of the target link, it is necessary to comprehensively consider the contribution of different meta-paths and their path instances to the formation of the link.