• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • PhD Vacancies
      • Selected PhD Placements
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community
Home | Events Archive | Recent Developments in the Analysis of Social and Economic Networks
Tinbergen Institute Lectures

Recent Developments in the Analysis of Social and Economic Networks


  • Location
    Amsterdam
  • Date

    June 12, 2012 until June 14, 2012

The lectures provided an introduction to a set of analytic tools for modeling both network formation and how network structure affects individual behavior. The first part included an overview of some of the basic random graph, statistical, and game theoretic models of network formation and how such models can be used to understand observed social-network phenomena. The second part of the lectures discussed some issues surrounding the statistical estimation of network models. The third part of the lectures provided an introduction to a series of interactive models of behavior as dependent on network structure: contagion, diffusion, and learning, including some discussion of peer effects.

Matthew Jackson is the William D. Eberle Professor of Economics at Stanford University.