A network is a typical expressive form of representing complex systems in terms of vertices
and links, in which the pattern of interactions amongst components of the network is intricate …

Link prediction is a technique to forecast future new or missing relationships between
entities based on the current network information. Graph theory and network science are …

This paper investigates the link prediction in multiplex networks. Multiplex networks that
represent multiple types of interaction between the same group of individuals are a special …

Abstract In the" We the Media" era, the rules for forming social users' following relationships
are complex. Links generated between two social user nodes are influenced by not only the …

The objective of this study is to evaluate the impact of port cooperation on port hierarchy
based on network analysis. Specifically, several complex network measures and link …

Owning to its extensive range of applications, the study of link prediction has captured
considerable attention from researchers. Recently, hybrid similarity methods, which …

Networks offer a powerful approach to modeling complex systems by representing the
underlying set of pairwise interactions. Link prediction is the task that predicts links of a …

In weighted networks, both link weight and topological structure are significant
characteristics for link prediction. In this study, a general framework combining null models is …

Link prediction is an important task in the field of network analysis and modeling, and
predicts missing links in current networks and new links in future networks. In order to …

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 …