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Instructor Class Description

Time Schedule:

Mark S. Handcock
STAT 567
Seattle Campus

Statistical Analysis of Social Networks

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, SOC 505, SOC 506, or equivalent; recommended: CS&SS 505; CS&SS 506. Offered: jointly with CS&SS 567.

Class description

For a detailed description see

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


Recommended preparation

Class assignments and grading

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by Mark S. Handcock
Date: 03/31/2008