The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

A complete understanding of the brain requires an integrated description of the numerous
scales and levels of neural organization. This means studying the interplay of genes and …

In recent years, mechanical fault diagnosis technology at home and abroad has developed
rapidly, and its application has spread to various industrial fields. Due to the complex …

Interpreting partial information collected from systems subject to noise is a key problem
across scientific disciplines. Theoretical frameworks often focus on the dynamics of variables …

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 psychology of the individual is continuously changing in nature, which has a significant
influence on the evolutionary dynamics of populations. To study the influence of the …

Networks are mathematical objects widely used in multiple disciplines to model the structure
of complex systems. From the network of neurons in the human brain to the social networks …

Fluorescence time traces are used to report on dynamical properties of molecules. The basic
unit of information in these traces is the arrival time of individual photons, which carry …

Networks are convenient mathematical models to represent the structure of complex
systems, from cells to societies. In the last decade, multilayer network science–the branch of …

An excellent method for predicting links in multiplex networks is reflected in its ability to
reconstruct them accurately. Although link prediction methods perform well on estimating the …