Duke Network Analysis Center

2021 Social Networks and Health Workshop

May 13th and 14th, 2021 (held via Zoom)

Lectures and corresponding material were provided ahead of time; the workshop sessions were question and answer sessions related to the lectures.

Q+A Schedule (Recordings linked in title):

Lectures:

Community Detection in R and Beyond (Peter Mucha, UNC Chapel Hill)

• Lecture (part 1)
• Lecture (part 2)
• Slides and R Code

Meta-analysis of SIENA SAOM Estimates (Daniel Ragan, University of New Mexico)

• Lecture (part 1)
• Lecture (part 2- Metafor script example)
• Slides and R Code

Stochastic Actor-Oriented Model Advanced Techniques I: Asymmetric Peer Influence and Simulations (David Schaefer & Cassie McMillan, UC Irvine & Northeastern University)

• Lecture
• Slides and R Code

A primer on inference with partially observed network data (Tyler McCormick, University of Washington)

• Lecture
• Slides

Big Networks: Strategies and Cautionary Tales (James Moody, Duke University)

• Lecture
• Slides and R/Pajek Code

Positional Analysis for Social Networks and Health (James Moody, Duke University)

• Lecture
• Slides

Nuts and Bolts of Ego Network Design (Brea Perry, University of Indiana)

• Lecture
• Slides

Simulation & Agent-Based Models for Social Networks and Health (James Moody, Duke University)

• Lecture (part 1)
• Lecture (part 2)
• Slides

Ethics and Human Subjects Considerations for Link Tracing Designs (Dana Pasquale, Duke University)

• Lecture
• Slides and Readings

Bipartite ERGM (Alina Kuvelkar & David Hunter, University of Pittsburgh & Penn State)

• Lecture
• Slides and R Code

Missing Network Data Under Different Network and Missing Data Conditions (Jeffrey Smith, Jonathan Morgan & James Moody; University of Nebraska-Lincoln & Duke University)

• Lecture
• Slides and R Code