The betweenness centrality, a path-based global measure of flow, is a static predictor of
congestion and load on networks. Here we demonstrate that its statistical distribution is …

Steady technological advances are paving the way for the implementation of the quantum
internet, a network of locations interconnected by quantum channels. Here we propose a …

The betweenness centrality (BC) is an important quantity for understanding the structure of
complex large networks. However, its calculation is in general difficult and known in simple …

Nodes are randomly distributed within an annulus (and then a shell) to form a point pattern
of communication terminals which are linked stochastically according to the Rayleigh fading …

Many machine learning algorithms used for dimensional reduction and manifold learning
leverage on the computation of the nearest neighbors to each point of a data set to perform …

In the classic model of first-passage percolation, for pairs of vertices separated by a
Euclidean distance L, geodesics exhibit deviations from their mean length L that are of order …

In this perspective, we introduce recent research into the structure and function of complex
investor networks supporting sustainability efforts. Using the case of solar, wind and hydro …

Many networks have nodes located in physical space, with links more common between
closely spaced pairs of nodes. For example, the nodes could be wireless devices and links …

In order to investigate the fundamental limits of network densification in and beyond 5G, we
study the spatial spectral efficiency gain achieved when communication devices densely …

The existing radio access network (RAN) is facing many challenges to meet the very strict
speed and latency requirements by different mobile applications in addition to the increasing …