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 last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

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 …

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 …

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 …

The complex and interdependent nature of modern critical national infrastructures provides
the conditions for which localized failures can propagate within and between network …

In biology and technology systems, the proper functioning of agents may be mutually
interdependent, where the failure of an agent can cause the dysfunctionality of other …

Many complex systems in the real world can be modeled as complex networks, which has
captured in recent years enormous attention from researchers of diverse fields ranging from …

Until recently, network science has focused on the properties of single isolated networks that
do not interact or depend on other networks. However it has now been recognized that many …

Smart grids are increasingly interactive with communication networks and have even
become interdependent networks. The majority of previous research has assumed that a …