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This course provides an introduction to the main topics of network science.
 
The course covers the basic concepts of graph theory, discusses how to construct a network from data, and generates synthetic networks. We also review network analysis techniques, such as centrality and community detection. Lastly, we provide a brief introduction to dynamics on and of networks as well as machine learning on networks.
 
  • In collaboration with: Vaiva Vasiliauskaite (ETH Zürich)
  • Estimated time: ≈ 2h