bibliographic_coupling
Build a bibliographic-coupling graph from seed papers to map the research front: edges connect papers sharing cited references, with weights and cosine scores. Exports GraphML and CSV edge lists.
Instructions
Build a bibliographic-coupling graph for a set of seed papers. Two seeds are coupled when they share cited references; edge weight = count of shared references, cosine = Salton index. Maps the current research front. Scopus needs an entitled (subscriber) key for REF-view access; source='openalex' does not. Output: GraphML + CSV edge list written to disk.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| source | No | Data source. 'scopus' (default) needs subscriber entitlement for search, citations and references. 'openalex' needs none: IDs may be DOIs, OpenAlex work IDs (W...), or Scopus IDs (resolved to a DOI via Scopus metadata), and results carry OpenAlex IDs. Never mix sources within one analysis. | scopus |
| seed_ids | Yes | Seed papers: Scopus IDs (bare numeric or SCOPUS_ID: prefixed). With source='openalex', DOIs and OpenAlex work IDs also work. | |
| min_shared | No | Minimum shared references for an edge to be emitted (default 2). |