CSSS-STAT 567

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CSSS-STAT 567

Statistical Analysis of Social Networks

Lecture:
MWF 10:30-11:20, SAV 166

Lab:
Tue 9:30-10:20, PDL C301

Instructor

Peter Hoff ( pdhoff )
C-319 Padelford
Office Hours: Tue and Thu 10:30-11:30 or by appointment.

TA

Yanjun He ( yanjunhe )
C-312 Padelford
Office Hours: Wed and Fri 1:30-2:30

Please include "567" (without quotes) in any emails to allow for appropriate filtering.

Texts

Lecture notes, Hoff.
Introduction to social network methods, Hanneman and Riddle.
Statistical Analysis of Network Data, Kolaczyk (free from a UW domain).
Statistical Analysis of Network Data with R, Kolaczyk and Csardi (free from a UW domain).
Social Network Analysis, Wasserman and Faust.
An introduction to R (html, pdf )
ergm manual

Schedule

Week 10:
- Reading: Notes and article on homophily and stochastic equivalence.
Week 9:
- Reading: Notes.
- Homework 8: due Monday 3/9.
Week 8:
- Reading: Notes, K 6.5-6.7, ergm manual
- Homework 7: due Monday 3/2.
Week 7:
- Reading: Notes, K 6.5.1, 6.5.2
Week 6:
- Reading: Notes.
- Homework 6: due Monday 2/23.
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 3-4.1 ; K 3-4.1.
- Homework 2: due Friday 1/23.
Week 1:
- Reading: HR 1-3 ; KC 1-2 ; K 1-2.
- 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.