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
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As Taught In
Spring
2022
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