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Complex Citation Network Analysis Using Recursive SQL

recursive queries bibliometrics network analysis research impact
Prompt
Design a recursive Common Table Expression (CTE) to map multi-level scientific citation networks from a bibliometric database. The query should track citation chains up to 5 levels deep, calculating propagation metrics for research influence. Include weighted citation scores, first publication date, and disciplinary origin. Optimize the recursive query for performance on a PostgreSQL database with over 2 million publication records.
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Pro
SQL
Science
Mar 1, 2026

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Ai Chat
Details
Category Pro
Purpose Data Analytics
Platform SQL
Industry Science
Added Mar 1, 2026
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Use Cases
  • Analyzing citation patterns to identify leading researchers in a field.
  • Studying the evolution of research topics over time.
  • Mapping the influence of seminal papers on subsequent research.
Tips for Best Results
  • Use comprehensive databases for citation data.
  • Incorporate visualization tools to illustrate citation networks.
  • Regularly update your analysis with new publications.

Frequently Asked Questions

What is complex citation network analysis?
It studies the relationships between academic citations to understand influence and trends.
Why is this analysis significant?
It reveals how research builds on previous work and identifies key contributors.
How can recursive SQL aid in this analysis?
Recursive SQL can efficiently query complex citation relationships in large datasets.

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