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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, alongside community detection techniques and studies of network robustness and spreading dynamics. Utilising real-world data and reproducible methods, gain proficiency in efficient algorithms and precise interpretations for data-driven network insights.

Elevify advantages

Develop skills

  • Master centrality: swiftly compute, compare, and interpret vital measures.
  • Harness spectral methods: apply eigenvalues to assess connectivity, mixing, and outbreaks.
  • Excel in community detection: deploy Louvain, SBM, and spectral clustering on actual datasets.
  • Model robustness: simulate disruptions, targeted attacks, and disease propagation.
  • Scale up analysis: leverage graph libraries for metrics on vast sparse networks.

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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