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Build and analyze citation networks from academic reference data
Passed 19 of 25 test cases with the skill, and 17 of 25 without it.
2 fixed17 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
When linking citing papers in a bibliographic coupling network based on reference overlap, what default minimum count of shared references must two papers share to establish an edge?
| Checked | Without skill | With skill |
|---|---|---|
| Sets a minimum shared reference threshold of 3. | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for constructing, analyzing, and visualizing citation networks from academic reference data. Covers data collection from bibliographic databases, network construction using direct citation, co-citation, and bibliographic coupling methods, community detection for identifying research clusters, and practical visualization with tools like Gephi, VOSviewer, and Python NetworkX.
Citation network analysis requires structured bibliographic data with reference lists. The choice of database determines coverage and available metadata.
Database Comparison for Citation Analysis:
Web of Science (Clarivate):
- Format: ISI/WoS plain text, BibTeX, CSV
- Coverage: ~21,000 journals, back to 1900
- Strengths: Cited reference data is most complete
- Limits: 1,000 records per export, subscription required
- Best for: High-quality citation network analysis
Scopus (Elsevier):
- Format: CSV, BibTeX, RIS
- Coverage: ~27,000 journals, back to 1970s for most
- Strengths: Broader coverage than WoS, author IDs
- Limits: 2,000 records per export, subscription required
- Best for: Broader disciplinary coverage
OpenAlex (free):
- Format: JSON via REST API
- Coverage: ~250M works, all disciplines
- Strengths: Free, open, comprehensive, API access
- Limits: Reference linking less complete than WoS
- Best for: Large-scale analysis, reproducible research
CrossRef (free):
- Format: JSON via REST API
- Coverage: ~150M DOIs across all publishers
- Strengths: Free, authoritative DOI metadata, reference linking
- Limits: No abstract text, citation counts may lag
- Best for: Cross-publisher networks, DOI resolution
test cases passed, vs 17 / 25 without
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