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 …

Synchronization in a network of connected elements is essential to the proper functioning of
both natural and engineered systems and is thus of increasing interest across disciplines. In …

Many physical and social systems are best described by networks. And the structural
properties of these networks often critically determine the properties and function of the …

Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

Evidence from both theoretical and empirical studies suggests that higher-order networks
have emerged as powerful tools for modeling social contagions, such as opinion formation …

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 …

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 …

Centrality is an effective method to identify important nodes in complex networks, but it is still
a challenge to find influential nodes by making full use of multiple relationships and global …

Networks offer a powerful language with which to describe and study pairwise interaction.
However, in many contexts, these rich collective phenomena require a higher-order …

Connectivity provides a framework for analyzing coastal sediment transport pathways,
building on conceptual advances in graph theory from other scientific disciplines …