Many complex systems can be well described by networks where nodes present individuals or agents, and links denote the relations or interactions between nodes. Recently, the link prediction of complex networks has attracted more and more attention from computer scientists and physicists. Link prediction aims at estimating the likelihood of the existence of a link between two nodes, based on the observed links and the attributes of the nodes. For example, classical information retrieval can be viewed as predicting missing links between words and documents, and the process of recommending items to a user can be considered as a link prediction problem in the user-item bipartite network. 

        Attached please find two newly published papers about the problem of link prediction. One (EPJB) discussed missing links prediction via local information. The other (PRE) introduced an efficient and effective similarity index, called Local Path index for link prediction.