An excellent method for predicting links in multiplex networks is reflected in its ability to
reconstruct them accurately. Although link prediction methods perform well on estimating the …

Multiplex networks are collections of networks with identical nodes but distinct layers of
edges. They are genuine representations of a large variety of real systems whose elements …

A multiplex is a collection of network layers, each representing a specific type of edges. This
appears to be a genuine representation of many real-world systems. However, due to a …

Multiplex networks are a representation of real-world complex systems as a set of entities (ie
nodes) connected via different types of connections (ie layers). The observed connections in …

The interactions among the elementary components of many complex systems can be
qualitatively different. Such systems are therefore naturally described in terms of multiplex or …

Networks are invaluable tools to study real biological, social and technological complex
systems in which connected elements form a purposeful phenomenon. A higher resolution …

Some networked systems can be better modeled by multilayer structure where the individual
nodes develop relationships in multiple layers. Multilayer networks with similar nodes across …

Link prediction is a technique to forecast future new or missing relationships between nodes
based on the current network information. However, the link prediction in monoplex …

Recent progress towards unraveling the hidden geometric organization of real multiplexes
revealed significant correlations across the hyperbolic node coordinates in different network …

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 …