Social Networks and Health 2017

May 22-26, 2017


The 2017 Social Networks and Health workshop is a week-long workshop that will introduce attendees to topics in social networks, and how they can be applied to research on health. The workshop will cover the following topics:

  • Network data collection
  • Network measures and description
  • Visualization of networks
  • Ego-network analysis
  • Regression with networks (including randomization techniques)
  • Diffusion and peer influence
  • Exponential random graph models (ERGM)
  • Stochastic Actor-Oriented Models (SAOM, or Siena models)

and will include guest lectures on:

  • IRB considerations for network data collection
  • Challenges with respondent-driven sampling (RDS)
  • Causal Inference and design of social network-based interventions

Each lesson will be illustrated with a lab section showing how to analyze network data in R.  The target audience is health researchers familiar with regression analysis who would like to learn how to incorporate network analysis into their research.

The workshop will take place at Duke University from May 22 to May 26, 2017.


To Register for the 2017 Social Networks and Health workshop click on the button below

Click to Register

Registration is limited to 66 participants, and will close on May 10, 2017 at 5:00pm EDT.

Registration costs $150, and includes breakfast, lunch, dinner, and parking at Duke for participants for the entire week. Out of town registrants are encouraged to make reservations at the JB Duke Inn. Workshop guests will be able to book in a block of rooms at the JB Duke Inn until May 1st, 2017.

For questions about the workshop or the registration please email us


Monday, 22 May
Morning session 2016 Social Networks and Health Fellow Presentations
Lunch discussion Welcome
Afternoon session 1 Lecture: Data Collection
Afternoon session 2 Lab: Data Management
Tuesday, 23 May
Morning session 1 Lecture: Descriptive Statistics
Morning session 2 Lab: Descriptive Statistics
Lunch discussion IRB Discussion
Afternoon session 1 Lecture: Data Visualization
Afternoon session 2 Lab: Data Visualization
Wednesday, 24 May
Morning session 1 Lecture: Regression with Networks – EGO Networks and Randomization
Morning session 2 [Open Lab]
Lunch discussion RDS Challenges Discussion
Afternoon session 1 Lecture: Applications of Diffusion
Afternoon session 2 Lab: Simulations
Thursday, 25 May
Morning session 1 Lecture: Inference for Networks – DYAD Model Overview
Morning session 2 Lecture: Inference for Networks – Exponential Random Graph Models
Lunch discussion Causal Inference Discussion
Afternoon session 1 Lab: Exponential Random Graph Models
Afternoon session 2 [Open Lab]
Friday, 26 May
Morning session 1 Lecture: Siena Models for Selection & Influence
Morning session 2 Lab: Siena Models
Lunch discussion Keynote Lecture
Afternoon session 1 [Open Lab]

Feel free to watch the 2016 lectures

Funding for the Social Networks and Health workshop provided by NIH grant R25HD079352

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