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This course provides an introduction to complex networks and their structure and function, with examples from engineering, applied mathematics, and social sciences

0

English

English [CC]

FREE

Description

Topics include spectral graph theory, notions of centrality, random graph models, contagion phenomena, cascades and diffusion, and opinion dynamics.

Course content

  • Course specifics, motivation, and intro to graph theory Unlimited
  • Introduction to graph theory Unlimited
  • Strong and weak ties, triadic closure, and homophily Unlimited
  • Centrality measures Unlimited
  • Centrality and web search, spectral graph theory Unlimited
  • Spectral graph theory, spectral clustering, and community detection I Unlimited
  • Spectral graph theory, spectral clustering, and community detection II Unlimited
  • Network models I Unlimited
  • Network models II Unlimited
  • Network models III Unlimited
  • Configuration model and small-world graphs Unlimited
  • Growing networks Unlimited
  • Linear dynamical systems Unlimited
  • Markov chains / Information spread and distributed computation Unlimited
  • Learning and herding Unlimited
  • Epidemics Unlimited
  • Introduction to game theory I Unlimited
  • Introduction to game theory II / Application of game theory to networks Unlimited

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Instructor

Massachusetts Institute of Technology
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