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

Modeling the effect of extreme events on multiple interdependent critical infrastructure
systems (CIS) simultaneously is essential for improving their resilience. To uncover CIS …

Percolation establishes the connectivity of complex networks and is one of the most
fundamental critical phenomena for the study of complex systems. On simple networks …

Topological deep learning is a rapidly growing field that pertains to the development of deep
learning models for data supported on topological domains such as simplicial complexes …

Network science provides a set of tools for the characterization of the structure and
functional behavior of complex systems. Yet a major problem is to quantify how the structural …

We investigate epidemic spreading in a deterministic susceptible-infected-susceptible
model on uncorrelated heterogeneous networks with higher-order interactions. We provide …

Networks are designed to ensure proper functioning and sustained operability of the
underlying systems. However, disruptions are generally unavoidable. Internal interactions …

International food trade plays a crucial role in enhancing global food security by connecting
regions with diverse agricultural capabilities and resource endowments. This study employs …

To understand the hang-up characteristics of caved ore and rock in caving mining under
different macro factors, and to provide better guidance for drawpoint layout design and hang …

The topological attributes of fracture networks in limestone, subject to intense
hydrodynamics and intricate geological discontinuities, substantially influence the …