Social media and web technologies have become a prominent source of data for researchers interested in the analysis of social interactions and communication dynamics. Online data help us revisit old theoretical accounts of interpersonal influence, diffusion processes, or group formation. The analysis of online networks, however, also creates methodological challenges that are new to researchers used to employing more traditional measurement instruments tailored to yield smaller and more static data. One difference, for instance, is that the higher temporal resolution of online data demands defining appropriate rules to aggregate activity in the form of network ties. Large network data also requires methods that offer a simplified map of the structure. This chapter offers an overview of some of those methods, illustrating how advanced techniques help us manage and analyze online networks and develop our theoretical understanding of social interactions and communication in the digital age.