Time Schedule:
Mark S. Handcock
STAT 567
Seattle Campus
Statistical and mathematical descriptions of social networks. Topics include graphical and matrix representations of social networks, sampling methods, statistical analysis of network data, and applications. Prerequisite: SOC 504-505-506 or equivalent; recommended: CS&SS 505; CS&SS 506. Offered: jointly with CS&SS 567.
Class description
For a detailed description see http://www.stat.washington.edu/~handcock/567
Student learning goals
Understand the fundamental features of a social network
Understand the fundamental features of a model for a social network
Fit, Analyze and Simulate social networks
General method of instruction
Lecture
Recommended preparation
Class assignments and grading