Network analysis shifts the research focus from individuals to their connections and so brings both theoretical and methodological innovations. Interest in network analysis has EXPLODED recently, due to new advances in statistical modeling and the rapid growth of network data. This course covers the major methods to collect and analyze network data. Selected topics include basic network analysis (data collection, centrality, and structure), the exponential random graph model for modeling network formation, meta network analysis for combining multiple random network models, the stochastic actor‐oriented model for analyzing dynamic networks and network effects, and social network-based interventions. Case studies and R code will be provided. Knowledge of R and logistic regression is required.
Day 1: Basic Network Analysis (Data collection, centrality, and structure)
Day 2: Network Formation and Meta Network Analysis
Day 3: Dynamic Networks, Network Effects, and Network Interventions
Dr. Weihua An is Associate Professor of Sociology & Quantitative Theory and Methods and associated faculty of The Goizueta Business School and The Rollins School of Public Health at Emory University. He received a Ph.D. in Sociology and an A.M. in Statistics from Harvard University and was a doctoral fellow and a postdoc fellow at Harvard Kennedy School. His research advances theories and methods for network analysis and causal inference with applications to studying inequality and social policy, health, and organizations. He has published in top methodological and substantive journals and has created multiple R packages for statistical analysis. He is a recipient of the Faculty Teaching Award from Emory Sociology and has advised over 20 dissertations and multiple honors theses.
August 7-9, 2023 (8pm-10:30pm, US ET). Zoom class with recordings available.
Regular tuition: $575. Early-bird tuition (register by June 1, 2023): $525. Alumni and student tuition (register by June 1, 2023): $475. To audit the first class for free, please register here. To register for the full course, please click the button below.