Social Networks and Health 2017

May 22-26, 2017

Overview

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.

Registration

Registration is limited to 50 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.

Space permitting, attendees may register for a single day at a cost of $50 using the same link.

Schedule

Monday, 22 May
9:00am – 12:00pm 2016 Social Networks and Health Fellow Presentations
12:00pm – 1:00pm Welcome
1:00pm – 3:00pm Lecture: Data Collection
3:00pm – 5:00pm Lab: Data Management
Tuesday, 23 May
9:00am – 10:15am Lecture: Descriptive Statistics
10:30am – 12:00pm Lab: Descriptive Statistics
12:00pm – 1:00pm IRB Discussion
1:00pm – 3:00pm Lecture: Data Visualization
3:00pm – 5:00pm Lab: Data Visualization
Wednesday, 24 May
9:00am – 10:15am Lecture: Regression with Networks – EGO Networks and Randomization
10:30am – 12:00pm [Open Lab]
12:00pm – 1:00pm RDS Challenges Discussion
1:00pm – 3:00pm Lecture: Applications of Diffusion
3:00pm – 5:00pm Lab: Simulations
Thursday, 25 May
9:00am – 10:15am Lecture: Inference for Networks – DYAD Model Overview
10:30am – 12:00pm Lecture: Inference for Networks – Exponential Random Graph Models
12:00pm – 1:00pm Causal Inference Discussion
1:00pm – 3:00pm Lab: Exponential Random Graph Models
3:00pm – 5:00pm [Open Lab]
Friday, 26 May
9:00am – 10:15am Lecture: Siena Models for Selection & Influence
10:30am – 12:00pm Lab: Siena Models
12:00pm – 1:00pm Keynote Lecture
1:00pm – 3:00pm [Open Lab]
3:00pm – 5:00pm Team Debrief and Friday Afternoon Party

Please feel free to browse our 2016 workshop code

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