Multilayer Networks

Multilayer networks are structures that represent complex systems with different types of connections or interactions organized into separate layers. Each layer captures specific relationships or functions—like social, transportation, or communication networks—while interconnected layers reflect how these different aspects influence each other. This organization helps us analyze and understand the overall system's behavior more effectively, revealing insights that might be hidden in a single-layer view. Multilayer networks are used in fields like neuroscience, transportation, and social sciences to model real-world complexity with clarity and precision.