~/talk

Data Science for OSPO: OSS Trends Found from Developer Activities

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Uses commit data from active OSS repos between 2020 and 2022 and clusters co‑occurring keywords with Infomap (compared to a Ruben algorithm), producing ~200 clusters: top ones are JavaScript, machine learning, cloud/Kubernetes; growing clusters include Java/microservices and databases, while C/C++ and game clusters decline; small but notable clusters show COVID‑19, quantum computing, and bioinformatics/genomics. Correlates repo commit timelines with developer share rates using a 0.4 threshold to detect substitute vs complementary projects and maps GitHub follower networks with degree and betweenness centrality to find key developers and sponsorship trends.

AI-written summary · about

  1. 0:00Data science for OSPO
  2. 1:56Evidence-based tech policy
  3. 5:19Data science in OSS research
  4. 8:19OSS keyword clustering
  5. 13:33OSS developer shift analysis
  6. 17:44Key OSS developers
  7. 23:16Summary of analysis
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