Covers network data collection, research design, visualization, and inferential techniques for cross-sectional and longitudinal network data. Prerequisite(s): PA 402 and PA 434; and graduate standing and admission to the Master of Public Administration or Master of Public Policy or Master of Science in Civic Analytics program or PhD program in Public Administration or consent of the instructor. Recommended Background: Students should have a prior stats course and be comfortable with regression and logistic regression.