| Day 1 |
Course Overview and
Introduction to Network Analysis |
- course intro & syllabus | intro to networks | code from class
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| Day 2 |
Network Centrality |
- network centrality | code from class
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| Day 3 |
Community Detection |
- community detection | code from class | resume data
|
| Day 4 |
Causal Inference with Networks |
- causal inference with networks | code from class
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| Day 5 |
Spatial Models |
- spatial models | covid data | contiguity matrix | state region data | animal data | code from class
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| Days 6 |
Models for Binary DVs |
- binary dvs | space shuttle data | Michelin data
|
| Day 7-8 |
LSGM |
- lsgm | slides in Rmd | troop placement example | chechen attacks | village distance matrix
|
| Day 9-10 |
ERGMs |
- intro to ergms | ergm specification | ergm application | code from class
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| Day 11 |
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 12 |
Latent Space Models |
- latent space | slides in pdf| code from class
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| Day 13 |
Weighted Networks |
- weighted nets | slides in pdf| code from class | your turn answers
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| Day 14 |
SOAMs |
- soams | 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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| Day 15 |
Other Topics |
- ego ergms | slides in pdf| ROC curves | slides in pdf| your turn answers | your turn answers
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