| Ses # | Topics | Key Dates |
|---|---|---|
| 1 | Introduction to social and economic networks | |
| 2 |
Describing and measuring networks
|
|
| 3 |
Eigenvector-based centrality measures
|
|
| 4 |
Production networks
|
Problem Set 1 Due |
| 5 |
Social learning on networks 1: DeGroot learning
|
|
| 6 |
Random graphs
|
Problem Set 2 Due |
| 7 | Random graphs (cont.) | |
| 8 | Random graphs (cont.) | Problem Set 3 Due |
| 9 |
Diffusion models
|
|
| 10 | Diffusion models and the Covid-19 Pandemic - Guest lecture by Sara Ellison | Problem Set 4 Due |
| 11 |
Strategic aspects of diffusion and cascading behavior
|
|
| 12 | Strategic aspects of diffusion and cascading behavior (cont.) | Problem Set 5 Due |
| Midterm | ||
| 13 |
Introduction to game theory
|
|
| 14 |
Network traffic and congestion
|
|
| 15 |
Network effects in markets
|
|
| 16 | Network effects in markets (cont.) | Problem Set 6 Due |
| 17 |
Competitive pricing in networks
|
|
| 18 |
Bargaining and intermediation in networks
|
Problem Set 7 Due |
| 19 |
Trust and cooperation in networks
|
Problem Set 8 Due |
| 20 | Advanced topics in network game theory - Guest lecture by Asuman Ozdaglar | |
| 21 |
Auctions
|
Problem Set 9 Due |
| 22 |
Information aggregation
|
|
| 23 |
Social learning on networks 2: Bayesian learning
|
Problem Set 10 Due |
| 24 | Social networks, misinformation, and polarization - Guest lecture by James Siderius |
Calendar
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Spring
2022
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