2022 Social Networks and Health Workshop

The 2022 training will be virtual, asynchronous, and open to all, with Foundational and Intermediate offerings. Training materials will be posted here as they are available.

The schedule for the Q&A session for registered attendees is below, followed by Foundational then Intermediate training offerings which are available to everyone.


May 10th May 11th May 12th
Start End Foundations Advanced Applied Substantive Talks
10:00 10:30 Points, Lines & Metrics (Moody) 2-mode SOAM (Schaefer) Community Engagement(Molina, Mulawa) Brea Perry (aging)

Ben Cornwell (SNA & Widowhood)

Ashton Verdery (kinship models)

Yami Molina (Community)

Marta Mulawa (HIV)

Tom Valente (Network interventions)

David Kennedy (Sociogram interventions)

10:30 11:00 Time Heterogeneity in SOAM (McMillan)
11:00 11:30 Open problems (various) Community Detection (Mucha) Family & Aging (Perry, Cornwell, Verdery)
11:30 12:00 Ego-Networks Q&A (DNAC) Genetics & Epi (Pasquale)
12:00 12:30 Ethics (Adams) Missing data/Imputation (Smith) Interventions (Valente, Kennedy)
12:30 13:00 BREAK BREAK
13:00 13:30

Data Wrangling (Tucker)

Optional: Network data cleaning (Ramos Flor)


Roles & Block models (Moody)

13:30 14:00 Diffusion & Peer Influence (Moody)  



Network Design Lab

14:00 14:30 IDEA Net (Moody) Relational Event Models (Duxbury)
14:30 15:00 Stats for Nets: Intro (Moody) Network TMLE (Zivich)
15:00 15:30 Lecture from: Stats for Nets: ERGM (Moody)

Materials from: ERGM

Community Aware Models (Volfovsky)
15:30 16:00

Network Viz (Moody)


Data Collection (Rawlings)

If the schedule block for a session contains a link, it is highly recommended for participants to engage with the lecture and/or materials before attending the Q&A section. Clicking the link will place the appropriate module at the top of your browser.

May 10-12, 2022, 11:00am-4:00pm. All times in U.S. Eastern Time (UTC-04:00).

Lecturers and Research Assistants for the 2022 Social Networks and Health Workshop:

James Moody, Director of Duke Network Analysis Center and Professor of Sociology, Duke University
Bernard Coles IV, Department of Sociology, Duke University
Benjamin Cornwell, Department of Sociology, Cornell University
Scott Duxbury, Department of Sociology, University of North Carolina at Chapel Hill
David Kennedy, RAND Corporation
Cassie McMillan, Northeastern University
Yamilé Molina, Division of Community Health Sciences, University of Illinois at Chicago
Jon Morgan, Department of Sociology, Duke University
Peter Mucha, Department of Mathematics, Dartmouth College
Marta Mulawa, Duke University School of Nursing and Duke Global Health Institute
Dana Pasquale, Department of Population Health Sciences, Duke University
Brea Perry, Indiana University
Joseph Quinn, Department of Sociology, Duke University
Craig Rawlings, Department of Sociology, Duke University
David Schaefer, University of California at Irvine
Jeffrey Smith, Department of Sociology, University of Nebraska-Lincoln
Liann Tucker, Department of Sociology, Duke University
Tom Valente, Department of Preventive Medicine, University of Southern California
Gabriel Varela, Department of Sociology, Duke University
Ashton Verdery, Department of Sociology and Criminology, Penn State
Tom Wolff, Department of Sociology, Duke University
Paul Zivich, Causal Inference Research Lab, University of North Carolina at Chapel Hill


User guide for the following training modules: The training modules are split into two categories. “Foundational” training covers essential aspects of network analysis and dispenses the necessary knowledge for understanding the “intermediate” training modules. Each training module can contain up to three types of links: a lecture video, a Q&A video, and a link to a google drive folder. The google drive folder contains all the scripts, data, slides, and additional material provided by the lecturer. Additional links to particular files may also be added.

If you find that a script requires a piece of data that is not present in that folder, try checking in our miscellaneous folder. If you find another problem with the script and/or data, feel free to get in touch with one of the research assistants in the workshop or email snh.dnac@gmail.com with your inquiry.



Substantive talks


Research Design Lab

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