The development of methods and models for statistical analysis of networks has grown substantially over the past five years. The importance of network analysis to statistical practice as a whole will continue to expand as complex datasets become more common in applications, including finance, public policy, social science, and neuroscience. The track on Statistical Models and Methods for Networks highlights the wide range of current work on this exciting and rapidly developing area of research.