Complex systems must respond to external perturbations and, at the same time, internally
distribute information to coordinate their components. Although networked backbones help …

Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

Using examples of regional opening-mode fractures in sandstones from the Cambrian
Flathead Formation, Wyoming, we show that quartz deposits preferentially fill fractures up to …

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 network density matrix formalism allows for describing the dynamics of information on
top of complex structures and it has been successfully used to analyze, eg, a system's …

The geometric renormalization technique for complex networks has successfully revealed
the multiscale self-similarity of real network topologies and can be applied to generate …

Physical networks are made of nodes and links that are physical objects embedded in a
geometric space. Understanding how the mutual volume exclusion between these elements …

A compact and tractable two-dimensional model to generate the topological network
structure of domain walls in BiFeO3 thin films is presented in this study. Our method …

Physical networks are made of nodes and links that are physical objects embedded in a
geometric space. Understanding how the mutual volume exclusion between these elements …

Understanding diffusive processes in networks is a significant challenge in complexity
science. Networks possess a diffusive potential that depends on their topological …