| Day 1 | Course Overview and Introduction to Network Analysis
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          course intro & syllabus | intro to networks| intro to networks pdf | code from class  | your turn answers 
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        | Day 2 | Network Centrality | 
          network centrality |  network centrality pdf   | code from class 
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        |  | Community Detection | 
          community detection  |community detection pdf  |your turn answers  | code from class  |  resume data 
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        | Day 3 | Causal Inference with Networks | 
           causal inference with networks  | causal inference with networks pdf   | code from class 
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        |  | Spatial Models | 
          spatial models  |spatial models pdf  |  covid data  | contiguity matrix | state region data  | animal data | code from class 
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        | Days 4--5 | Models for Binary DVs | 
           binary dvs  | binary dvs pdf   | space shuttle data | Michelin data | your turn answers 
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        |  | LSGM | 
          lsgm   | slides in Rmd | slides in pdf |  troop placement example  |  chechen attacks  |  village distance matrix | code from class 
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        | Days 6--7 | ERGMs | 
           random networks  | intro to ergms  | intro to ergms pdf  |  ergm specification  | ergm application | code from class | code from class 7/24 
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        | Day 8 | Netify | 
           intro to netify  | intro to netify pdf  | intro to netify code  |  Other Netify Vignettes  |  netify website 
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        | Day 9 | Latent Variable Modeling: Social Relations Model (SRM) | 
           SRM PDF  |  SRM Reading I: Back & Kenny 2010  |  SRM Reading II: Minhas et al 2022  | Day 9 Code Part 1  |  Day 9 Code Part 2  |  Day 9 Data  |  Day 9 Summary  |  Aside on Bayesian Modeling  |
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        | Day 10 | Latent Variable Modeling: Blockmodels | 
           Blockmodels PDF  |  Blockmodel Readings  |  Day 10 Code  |  Day 10 Data  |
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        | Day 11 | Latent Variable Modeling: Distance Model | 
           Distance Model PDF  |  Distance Model Readings  |  Day 10 Code  |  Day 10 Data  |  Matrix Decomposition Aside  |
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        | Day 12 | Latent Variable Modeling: Factor Model | 
           Factor Model PDF  |  Factor Model Readings  |  Day 12 Code & Data  |  Summary of Latent Variable Models  |  Gade Latent Variable Application Code  |
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        | Day 13 | Weighted ERGMs | 
          weighted nets   | slides in pdf| code from class | your turn answers 
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      | Day 13 | Temporal ERGMs | 
          tergm   | slides in pdf| slides in Rmd| code from class | your turn answers | your turn answers (2nd exercise) 
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        | Day 14 | SAOMs | 
          SAOMs   | slides in pdf| slides in Rmd| your turn answers (1st exercise) | your turn answers (Knecht exercise) | your turn answers (2nd exercise) | your turn answers (3rd exercise) 
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