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PhD course @ UAB (2022)

Complex Network Analysis

12-hour PhD course on complex network analysis for applied economics.

PhD Universitat Autònoma de Barcelona, P.h.D in Economia Applicada 2022 12 hours Dr. Giulio Rossetti

The connectedness of modern society, from the Web to global finance, is a story about networks and the aggregate behaviour of groups of people.

This 12-hour crash course introduces complex network analysis for PhD students in applied economics: how real networks are structured, how they differ from random models, and how they change and host diffusion processes.

Course structure

  1. 01
    Lecture 1

    Measures and fundamentals

    • Why should we care about complex networks?
    • Networks & graphs: basic measures
  2. 02
    Lecture 2

    Real networks and synthetic models

    • Random networks
    • It's a small world!
    • Scale-free networks
  3. 03
    Lecture 3

    Micro, meso & macro

    • Micro: centrality & tie strength
    • Meso: community discovery
    • Macro: assortativity & resilience
  4. 04
    Lecture 4

    Dynamics of networks

    • Representing dynamic topologies
    • Dynamic community discovery
    • Link prediction
  5. 05
    Lecture 5

    Dynamics on networks

    • Epidemics
    • Opinion dynamics
  6. 06
    Lecture 6

    Hands-on!

    • Python notebooks on real network data

Materials

Slides & notebooksCourse repository: slides and notebooks folders. Networks, Crowds, and MarketsD. Easley, J. Kleinberg (free textbook). Network ScienceA.-L. Barabási (free textbook). The Atlas for Aspiring Network ScientistsM. Coscia (free textbook). GephiVisual network analysis. Network datasetsNetzschleuder and Network Repository.