Social and Economic Networks: Models and Analysis

Instructor: Matthew O. Jackson

Skills you'll gain

  •   Network Model
  •   Probability Distribution
  •   Mathematical Modeling
  •   Game Theory
  •   Social Sciences
  •   Network Analysis
  •   Simulations
  •   Markov Model
  •   Behavioral Economics
  •   Economics, Policy, and Social Studies
  •   Bayesian Statistics
  •   Probability & Statistics
  •   Sociology
  •   Graph Theory
  • There are 8 modules in this course

    The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks. Next, we will cover a set of models of how networks form, including random network models as well as strategic formation models, and some hybrids. We will then discuss a series of models of how networks impact behavior, including contagion, diffusion, learning, and peer influences. You can find a more detailed syllabus here: http://web.stanford.edu/~jacksonm/Networks-Online-Syllabus.pdf You can find a short introductory videao here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4

    Background, Definitions, and Measures Continued

    Random Networks

    Strategic Network Formation

    Diffusion on Networks

    Learning on Networks

    Games on Networks

    Final Exam

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