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Course facts
  • Payment: Free, no certificate
  • Credits: Non Credit
  • Learning style: Self-paced, start anytime
  • Resources: Exams; Lecture Notes; Problem Sets
MIT OpenCourseWare details
  • As taught in: Spring 2022
  • Department: Economics, Electrical Engineering and Computer Science
Created byMIT
Available onMIT OpenCourseWareMIT OpenCourseWare

Course Details
Learning Style

Start Anytime

Level

All Levels

Study Mode

100% Online

Outcomes
Academic Credits

Non Credit

Price & Terms
Pricing Model

Free Content (No Certificate)

Technical
Content Medium

Text Based

Specification
Access

Free Access

SKU: networks Category: Brand:

Study social and economic networks: centrality, random graphs, diffusion, game theory, auctions, social learning and misinformation, with problem sets.

At a glance
LevelAll Levels
AccessFree access
FormatText Based
As taught inSpring 2022
DepartmentEconomics, Electrical Engineering and Computer Science
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Our friendships, firms’ supply chains and banks’ exposures all form networks, and the same principles run through them. This class gives the tools to study how shocks, ideas and behavior spread. It covers random graphs, centrality, diffusion including Covid-19, game theory on networks, bargaining, auctions, social learning and, finally, misinformation and polarization among social media users.

What You Will Achieve

  • Measure networks using centrality and clustering
  • Analyze random graphs and phase transitions
  • Model diffusion and cascading behavior
  • Apply game theory to network traffic and markets


Program Overview

Measuring Networks

The first lectures build the vocabulary.

  • Directed and undirected graphs
  • Eigenvector-based centrality
  • Production networks
  • Random graphs

Diffusion and Social Learning

Next comes how things move through a network.

  • DeGroot learning
  • Diffusion models
  • Covid-19 pandemic
  • Bayesian learning and herding

Strategic Behavior

The remaining lectures add incentives.

  • Braess’ paradox
  • Network effects in markets
  • Bargaining and intermediation
  • Auctions

Course Completion


Job Outlook

These tools are useful in economics, data science, finance and the study of social media.


Our take

Good for: Quantitative undergraduates comfortable with multivariable calculus, linear algebra and probability.

Keep in mind: From spring 2022, with slides and problem sets but no lecture videos. The final exam is not available, and solutions are listed only for practice problems on social media networks.

Bottom line: A clean, modern treatment of a wide field, and a strong fit for people who like applied mathematics.

Frequently Asked Questions

Is programming needed?

It is not required. Some problem set questions let you choose among theoretical, computational and empirical options, so you can code if you like.

Which textbooks support it?

Networks, Crowds, and Markets by Easley and Kleinberg, and the more advanced Social and Economic Networks by Matthew Jackson, as supplementary reading.

Which guest lectures are included?

Sara Ellison on diffusion and Covid-19, Asuman Ozdaglar on network game theory, and James Siderius on misinformation and polarization.

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