Link prediction in complex networks has attracted increasing attention from both physical
and computer science communities. The algorithms can be used to extract missing …

The increasing growth of online social networks has drawn researchers' attention to link
prediction and has been adopted in many fields, including computer sciences, information …

The common-neighbor–based method is simple yet effective to predict missing links, which
assume that two nodes are more likely to be connected if they have more common …

Link prediction is an important problem in topics of complex networks, which can be applied
to many practical scenarios such as information retrieval and marketing analysis. Strategies …

Measuring the similarity of nodes in complex network has been significant research in the
analysis of complex characteristic. Several existing methods have been proposed to …

The study of network disintegration has attracted much attention due to its wide applications,
including suppressing the epidemic spreading, destabilizing terrorist network, preventing …

To evaluate the performance of prediction of missing links, the known data are randomly
divided into two parts, the training set and the probe set. We argue that this straightforward …