Individual skill
citation-network
Build and visualize a citation network from a source/target CSV to identify key papers, communities, and emerging hotspots; use when you have citation pairs and need fast literature review or trend analysis.
scientific-skills/Evidence Insight/citation-network/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
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POLISH_CHANGELOG.mddoc · 595 bytesSKILL.mdcore · 7,762 bytesSKILL.mdcore · 7,762 bytesSKILL.mdcore · 7,762 byteseval_report_citation-network_result.jsonasset · 10,904 bytesreferences/data-cleaning-checklist.mddoc · 158 bytesreferences/network-metrics-notes.mddoc · 173 bytesscripts/build_citation_network.pyruns · 6,036 bytesscripts/export_gexf_html.pyruns · 4,855 bytesscripts/init_run.pyruns · 1,611 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
## When to Use
- You have a citation relationship table (who cites whom) and want to quickly turn it into a directed network for analysis.
- You are conducting a literature review and need to identify influential papers (high in-degree / centrality) and core clusters.
- You want to detect community structures (research subfields) and compare them across time or datasets.
- You need an interactive, shareable visualization (HTML) or a Gephi-importable graph file (GEXF).
- You are positioning a new project and want evidence of research hotspots and bridging papers between communities.
## Key Features
- Builds a directed citation graph from a minimal CSV containing `source` and `target`.
- De-duplicates nodes by identifier (DOI recommended; otherwise unique titles).