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CSSSSTAT 567
Statistical Analysis of Social Networks
Lecture:
MWF 10:3011:20, SAV 166
Lab:
Tue 9:3010:20, PDL C301
Instructor
 Peter Hoff ( pdhoff )
 C319 Padelford
 Office Hours: Tue and Thu 10:3011:30 or by appointment.
TA
 Yanjun He ( yanjunhe )
 C312 Padelford
 Office Hours: Wed and Fri 1:302:30
Please include "567" (without quotes) in any emails to allow for appropriate filtering.
Texts
Schedule
 Week 10:
 Week 9:
 Week 8:
 Week 7:
 Reading: Notes, K 6.5.1, 6.5.2
 Week 6:
 Week 5:
 Reading: Notes, K 6.2, 6.5.1
 Homework 5: due Friday 2/13.
 Week 4:
 Reading: Notes, K 6.1, 6.2
 Homework 4: due Friday 2/6.
 Week 3:
 Reading: HR 7,8,10 ; K 4.2,4.3.
 Homework 3: due Friday 1/30.
 Week 2:
 Reading: HR 5,7 ; KC 34.1 ; K 34.1.
 Homework 2: due Friday 1/23.
 Week 1:
 Reading: HR 13 ; KC 12 ; K 12.
 Homework 1: due Friday 1/16.
Course Outline
 Representations of dyadic data
 matrix and graph representations
 descriptive network statistics and summaries
 Statistical inference for static, complete network data
 goodness of fit and hypothesis testing
 regression models
 random effect and latent variable models
 exponential family graph models
 Special topics:
 design and analysis of sampled or incomplete data
 dynamic data
Evaluation
 Seven or so homework assignments
 Late policy: Each turned in item receives an initial grade of
x, then the actual grade is y=x exp(d/8), where d is
the number of days (including weekends) after the due date I receive the work.
Everyone receives one grace day to be applied to
one homework for the entire quarter.
