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 complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

In the past 20 years network science has proven its strength in modeling many real-world
interacting systems as generic agents, the nodes, connected by pairwise edges …

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 …

In the last decade, network science has shed new light both on the structural (anatomical)
and on the functional (correlations in the activity) connectivity among the different areas of …

Transportation networks, from bicycle paths to buses and railways, are the backbone of
urban mobility. In large metropolitan areas, the integration of different transport modes has …

Network models, stress testing methods and early warning systems are attracting growing
interest both among scholars and practitioners. In this short paper, we illustrate some of the …

In the post-epidemic period, the international economic structure has been readjusted, with
risks contagious across financial and economic systems. This paper primarily uses the high …

Modelling the structure of cognitive systems is a central goal of the cognitive sciences—a
goal that has greatly benefitted from the application of network science approaches. This …

The integration of multi-source and diverse spatio-temporal travel data provides a
comprehensive insight into urban mobility. Using data from Shenzhen's public transportation …