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 …

Link prediction is a main social network challenge that uses the network structure to predict
future links. The common link prediction approaches to predict hidden links use a static …

Link prediction is considered as one of the key tasks in various data mining applications for
recommendation systems, bioinformatics, security and worldwide web. The majority of …

We propose a link prediction method for evolving networks. Our method first computes a
number of different node similarity scores (eg Common Neighbor, Preferential Attachment …

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 …

Time series has a wide range of applications in various fields. Recently, a new math tool,
named as visibility graph, is developed to transform the time series into complex networks …

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 on dynamic networks has been extensively studied and widely applied in
various applications. However, existing methods only consider either the network structure …

Link prediction is a task in Social Network Analysis that consists of predicting connections
that are most likely to appear considering previous observed links in a social network. The …

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 …