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Advanced Graph Theory Course

Advanced Graph Theory Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

Explore advanced graph theory to analyze networks confidently. Compute centrality, spectral properties, and structural metrics; apply community detection algorithms; and model robustness against failures and spreading dynamics. Use real datasets and scalable tools for precise, reproducible network insights.

Elevify advantages

Develop skills

  • Master centrality measures: compute, compare, and interpret them efficiently.
  • Apply spectral tools: leverage eigenvalues for connectivity, mixing, and epidemic analysis.
  • Perform community detection: use Louvain, SBM, and spectral methods on real datasets.
  • Model network robustness: simulate failures, attacks, and disease spread.
  • Conduct scalable analysis: apply graph libraries to large sparse networks.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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