How do trade and investment ties link emerging economies to each other and to the West? Which countries anchor new multilateral coalitions? How do migrants, policies and ideas move across borders? These are all questions about relationships, and network analysis is a rigorous way to map and measure them. This three-day course introduces the core concepts of network analysis and puts them to work. Each day pairs a morning lecture with a hands-on lab in R. Participants will learn to: represent relationships from their own research, such as alliances, trade flows or collaborations, as networks measure the structure of a network and use centrality measures to find influential actors and brokers detect blocs and communities, test whether similar actors tend to connect with each other, and identify core–periphery hierarchies in global systems No prior experience with network analysis or programming is needed, and an introduction to R and RStudio is included. After the three days, participants can book one-to-one sessions to discuss how network methods could strengthen their own research.