~/talk

The F#orce Awakens

Talkat NDC Oslo 2016 · 2016-06-08..06-10· [data-science]
slides:none on file

Parses seven Star Wars screenplays with active patterns in F#, resolves OCR name quirks, and augments missing silent characters (R2‑D2, Chewbacca) by scaling mentions; uses the Star Wars REST API and builds an F# wrapper with JSON and HTML type providers; computes network metrics (character counts: originals ~20, Episode 7 = 27), density and clustering (Episodes 1–2 show lowest density/clustering), and betweenness centrality (Darth Vader ranks highest overall; in Episode 7 degree peaks at a resistance pilot while Finn/Kylo rise by betweenness); visual output is an interactive Fable -> d3 visualization and a Neo4j demo.

AI-written summary · about

  1. 0:00Start
  2. 4:42Active Patterns in F Sharp
  3. 22:53D3 Js
  4. 23:26Fable
  5. 29:48Clustering Coefficient
  6. 32:47Betweenness
  7. 35:59Centrality
  8. 38:59Neo4j
  9. 44:03Social Network Analysis
  10. 44:27Biological Networks
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