Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

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 …

When a large number of similar entities interact among each other and with their
environment at a low scale, unexpected outcomes at higher spatio-temporal scales might …

Complex systems are characterized by multiple spatial and temporal scales. A natural
framework to capture their multiscale nature is that of multilayer networks, where different …

The growing interconnections among societies have facilitated the emergence of systemic
crises, ie, shocks that rapidly spread around the world and cause major disruptions …

Human-made infrastructures are complex systems continually exposed to events that threat
their function, such as cascading failures, occurring when the flow of physical quantities is …

Many empirical networks originate from correlational data, arising in domains as diverse as
psychology, neuroscience, genomics, microbiology, finance, and climate science …

While the study of global governance is moving from a focus on component-dominated to
interaction-dominated systems, the present paper reviews development in governance …

From a complexity perspective on governance, multilateral diplomacy is based on
interactions between people, ideas, norms, policies and institutions. This article uses a …

Real-world networks typically exhibit several aspects, or layers, of interactions among their
nodes. By permuting the role of the nodes and the layers, we establish a new criterion to …