ICPSR — Network Analysis: Statistical Approaches (VIRTUAL)

This workshop covers advanced statistical methods for analyzing social network data, focusing on testing hypotheses about network structure (e.g. reciprocity, transitivity, and closure), the formation of ties based on attributes (e.g. homophily), and network effects on individual attributes (social influence or contagion models). It begins with statistical models for the local structure of dyads and triads, then moves to statistical models based on the assumption of dyadic independence, and then covers recent advances in statistical models that permit structured forms of dependence between dyads. Topics include random graph distributions, statistical models for local structure (dyads and triads), biased net models for complete networks and for aggregated tie count data, dyadic independence models, autocorrelation models, exponential random graph models, and stochastic models for dynamic network analysis.

The morning and afternoon sessions are coordinated so that each day presents methodological developments in the morning with afternoon computer lab sessions enabling applications to real data.

Prerequisites: The workshop assumes that participants have already taken a first course in network analysis. It also assumes that participants have had a course in basic regression. Knowledge of logistic regression is also helpful.

Fee: Members = $1500; Non-members = $3000

Instructor: John Skvoretz, University of South Florida

For course information and registration details, please visit the ICPSR Summer Program website.

Please Note: The ICPSR Summer Program takes the health and safety of our instructors, participants, and staff very seriously. We are closely monitoring COVID-19 updates and developments across the United States and around the world. Based on the advice of the Centers for Disease Control and Prevention to avoid close contact with others and assess the risks and necessity of travel, the ICPSR Summer Program has reached out to the instructor for this workshop and they will be offering this workshop remotely/virtually. This workshop will not be held on the campus of UNC Chapel Hill.