| 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
Course Info
Instructor
Departments
As Taught In
Spring
2022
Level
Course Info
Instructor
Departments
As Taught In
Spring
2022
Level
Learning Resource Types
grading
Exams
notes
Lecture Notes
assignment
Problem Sets