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01 NETWORK DATA COLLECTION (2017)

01 Network Data Collection (2017) from Duke Network Analysis Center

Feel free to watch the 2017 lectures

More presentations

00 Social Influence Effects on Men’s HIV Testing


00 Introduction to SN&H: Key Concepts and Overview


01 Network Data Collection


02 Network Canvas


03 RDS


04 Ego Network Analysis


05 Whole Network Descriptive Stats


06 Community Detection


07 Network Visualization


08 Statistical Models for Nets I, cross-section


09 Diffusion Models & Peer Influence


10 Network Experiments


11 Siena Models for Selection & Influence


12 SN&H Keynote: Thomas Valente, USC/a>

 

R Labs

Data management / R intro


Data entry/org/clean


Ego network (1)


Ego network (2)


Descriptive stats


Network viz & communities (1)


Network viz & communities (2)


Diffusion & ergm/stat (1)


Diffusion & ergm/stat (2)


Siena (1)


Siena (2)

More presentation

00 Partner or Perish? Public Health Delivery Systems & Cancer Screenings for the Uninsured under the ACA (2017 Fellow)


00 Using Social Network Analysis to Inform HIV Prevention and Treatment Efforts in Tanzania (2017 Fellow)


00 Examining the Dynamic Spread of Marijuana Use in a Social Network with Community Structure (2017 Fellow)


00 Lean on my Network: Depressive Symptoms, Physical Health, and Gender in Different-Sex Older Adult Couples (2017 Fellow)


01 Network Data Collection (2017)


03 Communities in Networks (2017)


04 Data Visualization (2017)


05 Network Canvas (2017)


06 Regression with Networks – EGO Networks and Randomization (2017)


07 Applications of Diffusion (2017)


08 Inference for Networks – DYAD Model Overview (2017)


09 Inference for Networks – Exponential Random Graph Models (2017)


10 Siena Models for Selection & Influence (2017)


11 Keynote (2017)

R Labs

Installing Libraries


Data Management


Descriptive Statistics


Data Visualization


Diffusion Simulations


Latent Space Models


ERGM


Sienna Models


Add Health Network (supplement)

Data Files

ahs_wpvar.csv
comm1.net
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