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Getting Started with Network Analysis in Python

Agenda

This webinar covers a lot in a short period of time!

  • Components of a network: Nodes & Edges
  • Three ways to create a graph in NetworkX:
    • pandas edgelist
    • adjacency matrix
    • JSON file
  • Capturing motion with directed and weighted graphs
  • Measuring importance with three types of centrality:
    • Degree centrality
    • Betweenness centrality
    • Closeness centrality

Note: Whether you're watching live or recorded, you can use the main Jupyter Notebook to follow along. Also, feel free to use the code snippets for your own network analysis projects - I'd love to see anything you do with it! 👍

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Starter code and examples for getting started with network analysis using the NetworkX Python library.

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