Network science is an interdisciplinary field that focuses on the study of complex networks and their properties. These networks can range from social networks, biological networks, transportation networks, to information networks, among others. Researchers in network science use tools and concepts from mathematics, computer science, physics, and other disciplines to analyze the structure, dynamics, and behavior of networks. They aim to understand how individual nodes (vertices) and their connections (edges) interact within a network, as well as how global patterns and properties emerge from these local interactions. Some of the key topics in network science include network theory, network modeling, network dynamics, community detection, information diffusion, network resilience, and network visualization. The insights gained from network science have applications in various fields such as sociology, biology, computer science, epidemiology, and many others.