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09 RESPONDENT DRIVEN SAMPLING AND NETWORK SAMPLING WITH MEMORY (2016)

09 Respondent Driven Sampling and Network Sampling with Memory (2016) from Duke Network Analysis Center

Feel free to watch the 2016 lectures

More presentation

01 Introduction to Networks Methods and Measures (2016)

02 Network Data Collection (2016)

03 Ego Network Analysis (2016)

04 Diffusion and Peer Influence (2016)

05 Communities in Networks (2016)

06 Network Study Design: Ethical Considerations and Safeguards (2016)

07 Statistical approaches to randomization (2016)

08 Exponential Random Graph Models (2016)

09 Respondent Driven Sampling and Network Sampling with Memory (2016)

10 More than a Pretty Picture: Visual Thinking in Network Studies (2016)

11 Network Experiments and Interventions (2016)

12 Network Experiments and Interventions: Studying Information Diffusion and Collective Action (2016)

13 An Introduction to Stochastic Actor-Oriented Models (2016)

14 Agent-Based Models: A New Challenge for Statistics (2016)

R Labs

Introduction to R — data management

Managing network data in R

Plotting with GGPlot2

An example of model summaries in R

Save network data from the first Add Health community

Peer Influence & Diffusion lab

An ERGM tutorial using R

SIENA tutorial using R

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