方法对比

	Author Co-Citation Analysis (ACA)	Author-Keyword Co-Occurrence Mapping
领域	文献计量学	文献计量学
方法族	Process / pipeline	Process / pipeline
起源年份	1981	1983
提出者	Howard D. White & Belver C. Griffith; later Howard D. White & Katherine W. McCain	Michel Callon, Jean-Pierre Courtial, William Turner & Serge Bauin; later Ying Ding, Gobinda Chowdhury & Schubert Foo
类型	Science-mapping pipeline using authors as units of analysis	Keyword co-occurrence network mapping pipeline
开创性文献	White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32(3), 163-171.	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.
别名	ACA, Author Co-Citation Mapping, Cited-Author Co-Citation Analysis	Author Keyword Network Mapping, Keyword Co-Occurrence Analysis, Conceptual Structure Mapping
相关	3	3
摘要	Author co-citation analysis (ACA) maps the intellectual structure of a research field by treating authors, rather than documents, as the units of analysis. Introduced by Howard White and Belver Griffith in 1981, ACA rests on a simple premise: when two authors are repeatedly cited together in the same later papers, the community of citers is signaling that their work is intellectually related. By counting these co-citations across a body of literature, assembling them into an author-by-author matrix, converting that matrix into similarities, and projecting it into a low-dimensional map, ACA recovers the 'specialties' or schools of thought that organize a discipline and shows how they relate to one another. White and McCain's 1998 study of information science, which mapped 120 leading authors over more than two decades, became the canonical demonstration of the method and established its workflow.	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.