In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

Our understanding of the dynamics of complex networked systems has increased
significantly in the last two decades. However, most of our knowledge is built upon assuming …

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

Spreading processes have been largely studied in the literature, both analytically and by
means of large-scale numerical simulations. These processes mainly include the …

Recent studies on network geometry, a way of describing network structures as geometrical
objects, are revolutionizing our way to understand dynamical processes on networked …

A paramount research challenge in network and complex systems science is to understand
the dissemination of diseases, information and behaviour. The COVID-19 pandemic and the …

Although ubiquitous, interactions in groups of individuals are not yet thoroughly studied.
Frequently, single groups are modeled as critical-mass dynamics, which is a widespread …

The way of information diffusion among individuals can be quite complicated, and it is not
only limited to one type of communication, but also impacted by multiple channels …

Epidemic containment is a major concern when confronting large-scale infections in
complex networks. Many studies have been devoted to analytically understand how to …