Gathering events, eg, going to gyms and meetings, are ubiquitous and crucial in the
spreading phenomena, which induce higher-order interactions, and thus can be described …

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 …

Percolation and synchronization are two phase transitions that have been extensively
studied since already long ago. A classic result is that, in the vast majority of cases, these …

Memory has a great impact on the evolution of every process related to human societies.
Among them, the evolution of an epidemic is directly related to the individuals' experiences …

The spreading of contagions can exhibit a percolation transition, which separates transitory
prevalence from outbreaks that reach a finite fraction of the population,. Such transitions are …

Many network systems are composed of interdependent but distinct types of interactions,
which cannot be fully understood in isolation. These different types of interactions are often …

From critical infrastructure to physiology and the human brain, complex systems rarely occur
in isolation. Instead, the functioning of nodes in one system often promotes or suppresses …

Many real-world complex systems are best modeled by multiplex networks of interacting
network layers. The multiplex network study is one of the newest and hottest themes in the …

Percolation is the paradigm for random connectivity and has been one of the most applied
statistical models. With simple geometrical rules a transition is obtained which is related to …

Interactions between people, including pairwise and higher-order interactions, can be
approximated as temporal higher-order networks, where the connections are constantly …