Networks

Real-World Graphs and Datasets

In this session we introduce two real-world datasets and practice basic NetworkX workflows.

Case Studies

USA Flights Enron Email Assignment

What do we need?

`networkx`

We will build graphs, compute metrics, and visualize structure.

`pandas`

Useful for loading edge lists from CSV or text files.

`matplotlib.pyplot`

Draw graphs and basic plots like degree distributions.

References

Session notebooks: amlab/networks
Curated references: references

---
title: "Networks"
subtitle: "Real-World Graphs and Datasets"
format: html
---

In this session we introduce two real-world datasets and practice basic NetworkX workflows.

## Case Studies

[USA Flights](usa-flights.qmd){.btn .btn-primary} [Enron Email](enron.qmd){.btn .btn-primary} [Assignment](assignment.qmd){.btn .btn-secondary}

## What do we need?

### `networkx`

We will build graphs, compute metrics, and visualize structure.

### `pandas`

Useful for loading edge lists from CSV or text files.

### `matplotlib.pyplot`

Draw graphs and basic plots like degree distributions.

## References

- Session notebooks: [amlab/networks](../../amlab/networks/)
- Curated references: [references](../../references/)