14.15 | Spring 2022 | Undergraduate, Graduate

Networks

Calendar

Ses # Topics Key Dates
1 Introduction to social and economic networks  
2

Describing and measuring networks 

  • Directed and undirected graphs, degree, walks, paths, cycles, connectivity, clustering, homophily, centrality. 

 
3

Eigenvector-based centrality measures 

  • Eigenvector centrality, Perron-Frobenius theorem, Katz-Bonacich centrality, Leontief inverse, PageRank. 

 
4

Production networks 

  • Economic fluctuations, Leontief input-out analysis, propagation of shocks.

Problem Set 1 Due
5

Social learning on networks 1: DeGroot learning 

  • DeGroot learning model, consensus, wisdom of crowds.

 
6

Random graphs

  • Erdos-Renyi graphs, branching processes, degree distributions, threshold functions, phase transitions, connectivity, giant component, configuration model, small worlds model. 

Problem Set 2 Due
7 Random graphs (cont.)  
8 Random graphs (cont.) Problem Set 3 Due
9

Diffusion models 

  • Bass model, SIR and SIS models of diffusion.

 
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 

  • Behavioral SIR model, seeding, targeting, threshold models, coordination, cohesiveness, contagion.

 
12 Strategic aspects of diffusion and cascading behavior (cont.) Problem Set 5 Due
  Midterm  
13 

Introduction to game theory 

  • Games, strategies, payoffs, best responses, dominant strategies, Nash equilibrium, mixed strategies.

 
14 

Network traffic and congestion 

  • Braess’ paradox, congestion games, potential games, price of anarchy/stability.

 
15 

Network effects in markets 

  • Externalities, strategic complements and substitutes, path dependence, tipping points, local network effects, key players, segregation, linear best-response games.

 
16 Network effects in markets (cont.) Problem Set 6 Due
17 

Competitive pricing in networks 

  • Buyer-seller networks, decentralized markets, market-clearing prices, the core, market power.

 
18

Bargaining and intermediation in networks 

  • Nash bargaining, ultimatum and alternating-offers bargaining, intermediation, bid-ask spreads, structural holes.

Problem Set 7 Due
19 

Trust and cooperation in networks 

  • Repeated prisoners’ dilemma, contagion, gossip, social capital, social collateral.

Problem Set 8 Due
20 Advanced topics in network game theory - Guest lecture by Asuman Ozdaglar  
21

Auctions 

  • First- and second-price auctions, winner’s curse, sponsored search auctions, Vickrey-Clarke-Groves mechanism.

Problem Set 9 Due
22

Information aggregation 

  • Wisdom of crowds, law of large numbers, Condorcet jury theorem, prediction markets.

 
23 

Social learning on networks 2: Bayesian learning 

  • Herding, information cascades, improvement principle, sacrificial lambs 

Problem Set 10 Due
24  Social networks, misinformation, and polarization - Guest lecture by James Siderius  

Course Info

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Lecture Notes
Online Textbook
Problem Sets
Exams