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Getting Started with Network Analytics in Python

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Build your own network and learn from it - Eric Sims

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Why would you care to use a network? (5 min)

  • When networks are better than tabular data
  • Interesting examples of things like fraud detection, influencers, and bot networks

How can we actually go about making a network? (10 min)

  • Explain the difference between nodes and edges
  • Live demo: two ways to make node and edge lists in Python
  • Make a simple network using a dataframe
  • Import an existing network file using JSON

What can you learn from a network? (35-40 min)

  • Introduce core concepts with live demos in Python and Gephi:
  • Degree, weighted degree (political donation network)
  • Different types of centrality (Star Wars network)
  • Shortest path (6 degrees of Kevin Bacon)

About the speaker:

Eric is a Sr. Analyst in Strategy & Analytics at LendingTree, where he focuses on supporting and driving improvements in Marketing and Product for Small Business and Investments verticals. Prior to joining LendingTree he studied at the Institute for Advanced Analytics at North Carolina State University. In his free time, he enjoys exploring Python networks, doing freelance ML projects, playing VR paintball, and contributing to the data science community on LinkedIn.

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