Hybrid influence based on diversity of degree and H-index of neighbors

At present, many scholars have done a great amount of research in link prediction. Researchers have found that the attributes of neighbors cannot be ignored in the study of expressing node similarity. Some scholars synthetically consider the degree and H-index to better express node influence. On this basis, the paper introduces a weight factor β to evaluate the role of degree and H-index, then proposes a mixed influence based on diversity of degree and H-index of neighbors model, and carries out experiments on twelve data sets. The experimental results indicate that the link prediction performance can be improved by the weight factor β to the hybrid influence of neighbors.