The registration site for this class has changed. To register, please go to http://www.odum.unc.edu/datamatters

This course will provide an introduction to descriptive and inferential network analysis. On day one we will cover descriptive network analysis, including: terminology, data collection/storage, position (e.g., centrality) analysis, visualization, and community detection. On day two we will cover statistical network analysis. Random graph statistical models can be used to statistically study network structure and answer questions such as: Does gender, race, or salary predict tie formation in a network? Does the network exhibit significant clustering? We will cover both empirical analysis and network simulation using random graph models. Real-world network data and R code will be provided. Approximately half of the time will be devoted to hands-on lab sessions. There are no formal prerequisites for the course, but a background in basic statistical analysis (e.g., regression) will be useful.

**Cancellation Policy The following refund policy will apply in the event of cancellations:

• Full refunds, less a 33% cancellation fee, will be issued for any course enrollments canceled by you before May 14, 2014.

• Full refunds, less a 50% cancellation fee, will be issued for any course enrollments canceled by you between May 14, 2014 and June 15, 2014.

• Full refunds, less a 75% cancellation fee, will be issued for any course enrollments canceled by you after June 15, 2014.

• Prior to the event start date, if we cannot accommodate you in a course you registered for, we can issue a credit toward any UNC Odum Institute course (except for ICPSR courses) or issue you a full refund for the course. Credits must be used by September 30, 2014.