In recent years, multiplex networks have been introduced to describe real complex systems,
where the same group of entities make different types of interaction. In a multiplex network …

In multiplex networks, nodes can have multiple types of relationships (links) encoded into
different layers such that each layer represents a single type of link. Even though the nature …

Multiple kinds of connections (links) may be encoded into distinct layers in multiplex
networks, with each layer representing a particular type of link. Even if the type of linkages in …

Multiplex networks are very flexible at showing heterogeneous relationships between
identical entities. Link prediction is a fundamental problem in network science. There are …

The public transportation network (PTN) provides mobility and access to community
resources, employment, medical care, infrastructures, and other resources in the city. This …

Due to its broad range of applications, link prediction has captured considerable attention
from various disciplines. In this paper, we focus on the problem of link prediction in multiplex …

The entities of real-world networks are connected via different types of connections (ie,
layers). The task of link prediction in multiplex networks is about finding missing connections …

The individuals of real-world networks participate in various types of connections, each
forming a layer in multiplex networks. Link prediction is an important problem in multiplex …

Hidden geometry enables the investigation of complex networks at different scales.
Extending this framework to multiplex networks, we uncover a different kind of mesoscopic …

This paper presents a link prediction algorithm for dynamic social networks based on B+
trees. The authors pointed out the need for precise link prediction in social network analysis …