Duke Network Analysis Center

2018 Social Networks and Health Workshop: May 14th – May 18th

Schedule:

Workshop Materials:

Recommended Reading

Day 1-

Fellows Mini-Conference:

• Using Networks to better estimate Vaccine Effectiveness (Paul Zivich, UNC Chapel Hill)
• Social Influence Effects on Men’s HIV Testing During a Randomized Controlled Intervention Trial in Tanzania (Nina Yamanis, American University)- Lecture Recording, Slides
• Expanding Social Network Visualization with Geographic Analysis to Uncover Disparities in HIV Service Accessibility Experienced by Young Latino MSM in Miami (Mariano Kanamouri, University of Miama Miller School of Medicine)
• Network and communication properties of HIV prevention and risk engagement in an online social networking environment among young men who have sex with men (Lindsay Young, UChicago Medicine)- Lecture Recording, Slides
• Egocentric Network Analysis of Older Adults Coping with the Onset of Alzheimer’s Disease (Will McConnell, Indiana University)- Lecture Recording, Slides
• Informal Caregiving and Network Turnover Among Older Adults (Adam Roth, Washington State University)
• The Early-Life Origins of Later-Life Networks (Alyssa Goldman, Cornell University)

Introduction to Social Networks & Health (James Moody, Duke University)

• Lecture Recording
• Slides

Lab- Data Management/R Introduction (Jon Morgan, Duke University)

• R Code

Day 2-

Network Data Collection (jimi adams, University of Colorado- Denver)

• Lecture Recording
• Slides

Network Canvas (Patrick Janulis, Northwestern University)

• Lecture Recording
• Slides

R Lab- data entry/ organization/ cleaning (Maria Ramos, Duke University)

• Lecture Recording
• R Code

Respondent-driven Sampling (Ashton Verdery, Penn State)

• Lecture Recording
• Slides

Ego-Network Analysis (Brea Perry, Indiana University)

• Lecture Recording
• Slides

Ego Network Lab (Brea Perry)

• Lecture Recording
• R Code

Day 3-

Whole Network Descriptive Statistics (Molly Copeland, Duke University)

• Lecture Recording
• Slides

Descriptive Statistics Lab (Jon Morgan, Duke University)

• Lecture Recording
• R Code

Computational Social Science Approaches (Chris Bail, Duke University)

• Lecture Recording
• R Code

Community Detection (Peter Mucha, UNC Chapel Hill)

• Lecture Recording
• Slides

Visualization (James Moody)

• Lecture Recording
• Slides

Lab- Network visualization and communities (James Moody)

• Lecture Recording
• R Code

Day 4-

Statistical Models for Networks (James Moody, Duke University)

• Lecture Recording
• Slides

Diffusion Models & Peer Influence (James Moody, Duke University)

• Lecture Recording
• Slides

IRB Discussion (Kathie Harris, Add Health Director)

• Lecture Recording

Network Experiments (Sharique Hasan, Duke University)

• Lecture Recording
• Slides

Diffusion & ERGM/Statistics Lab (Jaemin Lee, Duke University)

• Lecture Recording
• R Code

Day 5-

Siena Models for Selection & Influence (David Schaefer, UC Irvine)

• Lecture Recording
• Slides

Siena Lab (David Schaefer, UC Irvine)

• Lecture Recording
• R Code

SNH Keynote (Thomas Valente, USC)

• Lecture Recording
• Slides