A novel link prediction method integrated link attributes for directed graph

Link prediction is an important topic in the complex networks which aims to mine the missed or unobserved links and find the possible connected links in the network according to the known network structure. In this paper, we proposed a novel link prediction method for the directed graph which considers link semantic. The experimental results on the wiki vote network show that our link prediction method integrating link attributes achieved better results than the other compared methods.