Citation graph exploration for discovering related work through visual graph traversal
--- name: connected-papers-mapper-6f29598af4c3 description: Citation graph exploration for discovering related work through visual graph traversal allowed-tools: - Bash - Read - Write - Edit - Glob - Grep - WebFetch metadata: specialization: scientific-discovery domain: science category: literature-knowledge phase: 6 graph: domains: [domain:scientific-discovery] specializations: [specialization:scientific-research-methods] skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research] workflows: [workflow:experiment-design, workflow:peer-review-cycle] roles: [role:research-engineer, role:computational-scientist] --- # Connected Papers Mapper ## Purpose Provides citation graph exploration capabilities for discovering related work through visual graph traversal and temporal analysis. ## Capabilities - Citation graph generation - Seminal paper identification - Research front detection - Temporal citation analysis - Field bridge identification - Export to reference managers ## Usage Guidelines 1. **Seed Papers**: Start with key papers in the field 2. **Graph Exploration**: Navigate citation relationships 3. **Temporal Analysis**: Track field evolution over time 4. **Bridge Detection**: Find cross-disciplinary connections ## Tools/Libraries - Connected Papers API - NetworkX - pyvis--- name: connected-papers-mapper-6f29598af4c3 description: Citation graph exploration for discovering related work through visual graph traversal allowed-tools: - Bash - Read - Write - Edit - Glob - Grep - WebFetch metadata: specialization: scientific-discovery domain: science category: literature-knowledge phase: 6 graph: domains: [domain:scientific-discovery] specializations: [specialization:scientific-research-methods] skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research] workflows: [workflow:experiment-design, workflow:peer-review-cycle] roles: [role:research-engineer, role:computational-scientist] --- # Connected Papers Mapper ## Purpose Provides citation graph exploration capabilities for discovering related work through visual graph traversal and temporal analysis. ## Capabilities - Citation graph generation - Seminal paper identification - Research front detection - Temporal citation analysis - Field bridge identification - Export to reference managers ## Usage Guidelines 1. **Seed Papers**: Start with key papers in the field 2. **Graph Exploration**: Navigate citation relationships 3. **Temporal Analysis**: Track field evolution over time 4. **Bridge Detection**: Find cross-disciplinary connections ## Tools/Libraries - Connected Papers API - NetworkX - pyvis
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