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Advanced Graph Theory Course

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

What will I learn?

This course equips you with essential tools for confident analysis of complex networks. Master computing structural metrics, centrality measures, and spectral properties. Apply community detection techniques and explore network robustness alongside spreading dynamics. Using real datasets and reproducible methods, gain proficiency in efficient algorithms and precise interpretations for data-driven network studies.

Elevify advantages

Develop skills

  • Master centrality: compute, compare, and interpret vital measures swiftly.
  • Harness spectral methods: leverage eigenvalues for connectivity, mixing, and epidemic insights.
  • Excel in community detection: deploy Louvain, SBM, and spectral clustering on datasets.
  • Model robustness: simulate failures, attacks, and disease spread across networks.
  • Scale analysis: utilize graph libraries for metrics on vast sparse graphs.

Suggested summary

Before starting, you can change the chapters and 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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