SNA Remote Seminar: Social Networks: Statistical Approaches

We are offering two SNA seminars this Spring. Join us live via Zoom over 3 days, or take asynchronously by viewing the recorded videos later, to learn social network analysis methods. The second session is: 

Social Networks: Statistical Approaches taught by John Skvoretz on April 8-10. This advanced seminar is survey of statistical methods for analyzing social network data, with a focus on testing hypotheses about network structure (e.g. reciprocity, transitivity, centralization), the formation/dissolution of ties based on attributes (e.g. homophily), and local structural effects.

Discounts are available if you register for both seminars. Please email ashley@statisticalhorizons.com with any questions.