The degree attribute of nodes is the basic topological property of complex networks,so the pre-diction of node degree increments is of great significance in the future trend prediction of complex networks.Thus,this paper designs a node degree incremental prediction method based on the link prediction similari-ty algorithm and analyzes the prediction accuracy of node degree increments in complex networks.Firstly,the comparison of the predicted results of connected edges and degree increments shows that there is no cor-relation between the two.In further experiments,this paper analyzes the relationship between the degree at-tribute of the node itself and the future degree increment,the results show that the degree increment predic-tion accuracy of the large degree node is higher,while the accuracy of the small degree node is lower.The results show that the difference between large-degree nodes makes the prediction results of future degree in-crements more accurate,and shows the heterogeneity of link prediction results.
维普
万方数据