Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

The prediction of interactions in protein networks is very critical in various biological
processes. In recent years, scientists have focused on computational approaches to predict …

Recent development in the area of social networks has sought attention of the researchers
to crunch and analyse the data and information of the users to retrieve relevant knowledge …

In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …

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 …

Link prediction is an important task for analying social networks which also has applications
in other domains like, information retrieval, bioinformatics and e-commerce. There exist a …

Link prediction is a popular research area with important applications in a variety of
disciplines, including biology, social science, security, and medicine. The fundamental …

Social media have attracted considerable attention because their open-ended nature allows
users to create lightweight semantic scaffolding to organize and share content. To date, the …

Previous work analyzing social networks has mainly focused on binary friendship relations.
However, in online social networks the low cost of link formation can lead to networks with …

Dynamic networks are used in a variety of fields to represent the structure and evolution of
the relationships between entities. We present a model which embeds longitudinal network …