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 …

Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …

Finding an optimal set of nodes, called key players, whose activation (or removal) would
maximally enhance (or degrade) a certain network functionality, is a fundamental class of …

The emergence of large-scale connectivity and synchronization are crucial to the structure,
function and failure of many complex socio-technical networks. Thus, there is great interest …

Over the past two decades percolation theory has been used to explain and model a wide
variety of phenomena that are of industrial and scientific importance. Examples include …

Finding an optimal subset of nodes in a network that is able to efficiently disrupt the
functioning of a corrupt or criminal organization or contain an epidemic or the spread of …

From physics to engineering, biology and social science, natural and artificial systems are
characterized by interconnected topologies whose features–eg, heterogeneous connectivity …

Estimating, understanding, and improving the robustness of networks has many application
areas such as bioinformatics, transportation, or computational linguistics. Accordingly, with …

Throughout the past years, researchers increasingly study the resilience of transportation
systems through the lens of complex networks. This model simplification has helped to …

The well-functioning of our transportation systems is essential for ensuring the mobility of
people and goods. According to the Sustainable Developmental Goals (SDG) adopted by …