As an important technology of social network analysis, link prediction is widely applied in
computer science and many other fields. Link prediction can be used to detect missing links …

Link prediction methods anticipate the likelihood of a future connection between two nodes
in a given network. The methods are essential in social networks to infer social interactions …

Link prediction has attracted increasing research attention recently, which aims to predict
missing links in complex networks. However, the existing link prediction methods are …

Link prediction in dynamic networks is an important task with many real-life applications in
different domains, such as social networks, cyber-physical systems, and bioinformatics …

Link prediction in complex networks is to estimate the likelihood of two nodes to interact with
each other in the future. As this problem has applications in a large number of real systems …

In social network analysis, link prediction is a fundamental tool to determine new
relationships among users which are most likely to occur in the future. Link prediction by …

The growing popularity of online social networks is quite evident nowadays and provides an
opportunity to allow researchers in finding solutions for various practical applications. Link …

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 …

Social networks are widely considered as the most important tool to connect people. The last
century saw a massive increase in the number of links between users. Many nodes and/or …

Many real-world networks are dynamic, whose structure keeps changing over time. Link
prediction, which can foretell the emergence of future links, is one crucial task in dynamic …