The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

The science of science (SOS) is a rapidly develo** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …

Networks are finite metric spaces, with distances defined by the shortest paths between
nodes. However, this is not the only form of network geometry: two others are the geometry …

Complex systems are characterized by many interacting units that give rise to emergent
behavior. A particularly advantageous way to study these systems is through the analysis of …

The development of satellite networks is drawing much more attention in recent years due to
the wide coverage ability. Composed of geosynchronous orbit (GEO), medium earth orbit …

What do societies, the Internet, and the human brain have in common? They are all
examples of complex relational systems, whose emerging behaviours are largely …

We introduce Mercator, a reliable embedding method to map real complex networks into
their hyperbolic latent geometry. The method assumes that the structure of networks is well …

First-principle network models are crucial to understanding the intricate topology of real
complex networks. Although modelling efforts have been quite successful in undirected …

The investigation of the hidden metric space behind complex network topologies is a fervid
topic in current network science and the hyperbolic space is one of the most studied …