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Advanced Graph Theory Course

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

What will I learn?

The Advanced Graph Theory Course gives you practical tools to analyze complex networks with confidence. You will compute structural metrics, centrality measures, and spectral quantities, apply community detection, and study robustness and spreading processes. Through real-world datasets and reproducible workflows, you learn efficient algorithms and clear interpretation for rigorous, data-driven network analysis.

Elevify advantages

Develop skills

  • Centrality mastery: compute, compare, and interpret key centrality measures fast.
  • Spectral tools: use eigenvalues to diagnose connectivity, mixing, and epidemics.
  • Community detection: apply Louvain, SBM, and spectral clustering on real data.
  • Robustness modeling: simulate failures, attacks, and epidemic spread on networks.
  • Scalable analysis: use graph libraries to compute metrics on large sparse graphs.

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

What our students say

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Very great course. Lots of rich information.
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