Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Наукометричний аналіз картографування галузі× | Картографування науки× | |
|---|---|---|
| Галузь≠ | Наукометрія | Бібліометрія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2000s (mature form); roots in 1960s-1970s scientometrics | 2000s |
| Автор методу≠ | Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small | Katy Börner, Chaomei Chen, and others |
| Тип≠ | Quantitative bibliometric analysis | Method |
| Основоположне джерело≠ | Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374. DOI ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Інші назви≠ | science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping | knowledge mapping, domain mapping, research landscape visualization |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | Field-mapping scientometric analysis uses quantitative bibliometric techniques — co-citation, bibliographic coupling, co-authorship, and keyword co-occurrence — to delineate the intellectual structure and boundaries of a scientific field. By transforming large publication datasets into similarity networks and clustering them into research fronts and knowledge bases, it produces visual maps that reveal how subfields relate, where boundaries lie, and how the field evolves over time. | Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning. |
| ScholarGateНабір даних ↗ |
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