Episode

Networks and Complexity

Podcast
Data Skeptic
Published
Jun 14, 2025
Duration seconds
1069
Processing state
failed
Canonical source
http://dataskeptic.com/blog/episodes/2025/networks-and-complexity
Audio
https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/networks-and-complexity.mp3?dest-id=201630
JSON
/v1/public/podcasts/data-skeptic/episodes/networks-and-complexity
Markdown
/podcast/data-skeptic/networks-and-complexity.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/networks-and-complexity/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/data-skeptic/networks-and-complexity.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

In this episode, Kyle does an overview of the intersection of graph theory and computational complexity theory. In complexity theory, we are about the runtime of an algorithm based on its input size. For many graph problems, the interesting questions we want to ask take longer and longer to answer! This episode provides the fundamental vocabulary and signposts along the path of exploring the intersection of graph theory and computational complexity theory.