We present the analysis of the interrelation between two processes accounting for the
spreading of an epidemic, and the information awareness to prevent its infection, on top of …

Despite the success of traditional network analysis, standard networks provide a limited
representation of complex systems, which often include different types of relationships (or ‘…

Epidemiclike spreading processes on top of multilayered interconnected complex networks
reveal a rich phase diagram of intertwined competition effects. A recent study by the authors […

On 31 December, 2019, an outbreak of a novel coronavirus, SARS-CoV-2, that causes the
COVID-19 disease, was first reported in Hubei, mainland China. This epidemics’ health threat …

An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease,
was first reported in Hubei, mainland China on 31 December 2019. As of 20 March 2020…

Detecting the time evolution of the community structure of networks is crucial to identify
major changes in the internal organization of many complex systems, which may undergo …

The analysis of the activity of neuronal cultures is considered to be a good proxy of the
functional connectivity of in vivo neuronal tissues. Thus, the functional complex network inferred …

The spread of COVID-19 is posing an unprecedented threat to health systems worldwide 1 .
The fast propagation of the disease combined with the existence of covert contagions by …

Most complex systems are intrinsically dynamic in nature. The evolution of a dynamic
complex system is typically represented as a sequence of snapshots, where each snapshot …

The spreading of epidemics is very much determined by the structure of the contact network,
which may be impacted by the mobility dynamics of the individuals themselves. In confined …