Link prediction is the process of detecting new or missing links in any network. This work
focuses on link prediction in dynamic networks. One of the major challenges of the link …

Link prediction aims to represent the dynamic networks' relationships of the real world in a
model for predicting future links or relationships. This model can help in understanding the …

Link prediction is an important research direction in complex network analysis and has
drawn increasing attention from researchers in various fields. So far, a plethora of structural …

The growing popularity of online social networks is obvious these days, and it provides
researchers with an opportunity to find solutions for a variety of practical applications. The …

Link prediction is about reckoning the probability of a link existence between two nodes in
any network. A network can also be observed as a graph structure. Paper uses network as …

Link prediction finds missing links in static networks or future (or new) links in dynamic
networks. Its study is crucial to the analysis of the evolution of networks. In the last decade …

Dynamic networks are social networks in which node-to-node links contain a temporal
component, ie, node-to-node interactions over a specific time interval. As a result, the …

Many real-world networks belong to the kind that evolves over time. So it is very meaningful
and challenging to predict whether the link will occur in the network of future time. In this …

Any complex real-world system that changes over time can be represented as a network. We
analyze these networks using network theory-based techniques to infer useful information …

Link prediction has gained popularity in recent years in large networks. Researchers have
proposed various methods for finding the missing links. These methods include common …