Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Cascading failure is a potentially devastating process that spreads on real-world complex
networks and can impact the integrity of wide-ranging infrastructures, natural systems and …

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 …

The study of network robustness is a critical tool in the characterization and sense making of
complex interconnected systems such as infrastructure, communication and social networks …

Cascades are self-amplifying processes triggered by feedback mechanisms that may cause
a substantial part of a macroscopic system to change its phase in response to a relatively …

The field of neuroscience is facing an unprecedented expanse in the volume and diversity of
available data. Traditionally, network models have provided key insights into the structure …

We study the critical features of the order parameter's fluctuations near the threshold of
mixed-order phase transitions in randomly interdependent spatial networks. Remarkably, we …

Many real networks, such as infrastructure networks, are interdependent and their structure
is influenced by spatial constraints. However, the existence of spatial constraints and …

Natural hazards including floods can trigger catastrophic failures in interdependent urban
transport network-of-networks (NoNs). Population growth has enhanced transportation …

The dynamics of cascading failures in spatial interdependent networks significantly depends
on the interaction range of dependency couplings between layers. In particular, for an …