2024 SNH Workshop

Social Networks and Health 2024

Stream Links:

Day 1: https://www.youtube.com/watch?v=-pWgxNUQ1sA

Day 2: https://www.youtube.com/watch?v=TBqpWS6sJUE

Day 3: https://www.youtube.com/watch?v=dqr68F8QlD0

Day 4: https://www.youtube.com/watch?v=W73SUnDKKss

 Tuesday 14Wednesday 15Thursday 16Friday 17
9:00James Moody:Brea Perry:James Moody:David Schaefer:
9:30Introduction; Background, Network Data 1Ego Network ModelsRegression with networks & missing dataSIENA Models
10:00Gabe Varela:Craig Rawlings:David Schaefer:
10:30Ego-network LabPeer Influence ModelsSIENA Lab
10:45CoffeeCoffeeCoffeeCoffee
11:00Liann Tucker:Michelle Birkett:James Moody:James Moody:
11:30R-Lab: Data Entry & Organization ManagementNetwork CanvasIntroduction to statistical models for networksSimulation Models and ending Q+A
12:00James Moody:Ben Cornwell: 
12:30Network metrics (centrality, cohesion)New Directions in NSHAP 
1:00LUNCH: Dana PasqualeLunchLunch 
1:30Ethics Discussion 
2:00Tom Wolff:James Moody:Tom Valente: 
2:30IDEANET DemoCommunity & Role DetectionNetwork Interventions 
2:45CoffeeCoffee 
3:00Madelynn Wellons: Metrics LabCoffeeScott Duxbury: 
3:30Ashton Verdery:Jon Morgan:Temporal Exponential Random Graph Models (TERGMs) Lecture and Lab 
4:00Respondent Driven Sampling (RDS) MethodsCommunity & Role Lab 
4:30jimi adams:Ashton Verdery:James Moody: Network Visualization 
5:00Data CollectionKinship NetworksGabe Varela: Visualization Lab 

Lecturers and RAs:

James Moody, Director of Duke Network Analysis Center and Professor of Sociology, Duke University

Tom Wolff, Department of Sociology, Duke University

Madelynn Wellons, Department of Sociology, Duke University

Gabriel Varela, Department of Sociology, Duke University

Dana Pasquale, Department of Population Health Sciences, Duke University

Craig Rawlings, Department of Sociology, Duke University

Ashton Verdery, Department of Sociology and Criminology, Penn State

Tom Valente, Department of Preventive Medicine, University of Southern California

Scott Duxbury, Department of Sociology, University of North Carolina at Chapel Hill

Brea Perry, Department of Sociology, Indiana University

David Schaefer, Department of Sociology, University of California at Irvine

Michelle Anne Birkett, Department of Medical Social Sciences, Northwestern University

Lane Zook, Department of Sociology, University of South Carolina

Day 1:

Introduction; Background, Network Data 1 (James Moody, Duke University)

R-Lab: Data Entry & Organization Management (Liann Tucker, Duke University)

Network Metrics (centrality, cohesion) (James Moody, Duke University)

Ethics Discussion (Dana Pasquale, Duke University)

IDEANet Demo (Tom Wolff, Duke University)

Metrics Lab (Madelynn Wellons, Duke University)

Respondent Driven Sampling (RDS) Methods (Ashton Verdery, Penn State)

Data Collection (jimi adams, USC)

 

Day 2:

Ego Network Models (Brea Perry, Indiana University- Bloomington)

Ego Network Lab (Gabe Varela, Duke University)

Network Canvas (Michelle Birkett, Northwestern University)

New Directions in NSHAP (Ben Cornwell, Cornell University)

Community & Role Detection (James Moody, Duke University)

Community & Role Lab (Jon Morgan, Duke University)

Kinship Networks (Ashton Verdery, Penn State)

 

Day 3:

Regression with networks & missing data (James Moody, Duke University)

Peer Influence Models (Craig Rawlings, Duke University)

Introduction to statistical models for networks (James Moody, Duke University)

Network Interventions (Tom Valente)

Temporal Exponential Random Graph Models (TERGMs) Lecture and Lab (Scott Duxbury, UNC Chapel Hill)

Network Visualization (James Moody, Duke University)

Visualization Lab (Gabe Varela, Duke University)

 

Day 4:

SIENA Models (David Schaefer, UC Irvine)

SIENA Lab (David Schaefer, UC Irvine)

Simulation Models and ending Q+A (James Moody, Duke University)