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

In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, 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 …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

In most natural and engineered systems, a set of entities interact with each other in
complicated patterns that can encompass multiple types of relationships, change in time and …

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 …

Over the past two decades, epidemic spreading on complex network has been a vibrant and
highly successful research avenue. The dynamics of epidemic spreading on signed …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Networks form the backbone of many complex systems, ranging from the Internet to human
societies. Accordingly, not only is the range of our interactions limited and thus best …

The time variation of contacts in a networked system may fundamentally alter the properties
of spreading processes and affect the condition for large-scale propagation, as encoded in …