Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …

The cold-start problem occurs when a new user with limited information joins the network,
and it becomes challenging to predict new links in future networks. Several studies have …

Using the methods of complex networks in statistical physics, some transportation systems
have been investigated. We constructed the weighted bus line network and the weighted …

The cold-start problem is a common problem in recommendation systems (RS)[1]-[3]. User
coldstart problems [4],[5] and product cold-start problems [6],[7] are two categories of cold …

Cold-start link prediction has been a hot issue in complex network. Different with most of
existing methods, this paper utilizes multiple interactions to predict a specific type of links. In …

Link prediction has attracted wide attention among interdisciplinary researchers as an
important issue in complex network. It aims to predict the missing links in current networks …

Link prediction is a challenging issue in practical applications such as recommendation
systems. The purpose of such applications is to predict the presence of links between …

In real-world applications, such as recommendation systems, link prediction is a difficult
issue aimed at anticipating unobservable links between distinct objects through the learning …