The evolutionary behavior of temporal networks has gained the attention of researchers with
its ubiquitous applications in a variety of real-world scenarios. Learning evolutionary …

Recommender systems have been widely adopted in online applications to suggest
products, services, and contents to potential users. Collaborative filtering (CF) is a …

Complex networks such as the Internet, WWW, transportation networks, power grids,
biological neural networks, and scientific cooperation networks of all kinds provide …

Web Usage Mining is that area of Web Mining which deals with the extraction of interesting
knowledge from logging information produced by Web servers. In this paper we present a …

Link prediction is an important issue in social networks. Most of the existing methods aim to
predict interactions between individuals for static networks, ignoring the dynamic feature of …

Link prediction in social networks has attracted increasing attention in various fields such as
sociology, anthropology, information science, and computer science. Most existing methods …

Link prediction aims to predict the existence of unknown links via the network information.
However, most similarity-based algorithms only utilize the current common neighbor …

Markov models have been widely used for modelling users' navigational behaviour in the
Web graph, using the transitional probabilities between web pages, as recorded in the web …

The traditional similarity-based link prediction of complex networks mainly considers a
certain similarity index of each node. To improve the stability and accuracy of link prediction …

Most users leave e-commerce websites with no purchase. Hence, it is important for website
owners to detect users at risk of exiting and intervene early (eg, adapting website content or …