Author-Keyword Co-Occurrence Mapping
Author-keyword co-occurrence mapping reveals the conceptual structure of a research field by analyzing the keywords authors attach to their papers. It is a form of co-word analysis, the technique Michel Callon and colleagues introduced in 1983 to study how scientific problems are constructed through the language of the literature. The premise is that keywords appearing together in the same documents are conceptually linked, so counting these co-occurrences across a corpus and normalizing them into association strengths yields a network in which terms cluster into coherent themes. Ying Ding, Gobinda Chowdhury, and Schubert Foo's 2001 study mapped information-retrieval research with exactly this approach, demonstrating its value for charting a field's topics. The method offers a content-based complement to citation-based maps, showing what a field is about rather than which works it cites.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Callon, M., Courtial, J.-P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191-235. · DOI 10.1177/053901883022002003
- Ding, Y., Chowdhury, G. G., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing & Management, 37(6), 817-842. · DOI 10.1016/S0306-4573(00)00051-0
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.