Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Времево сегментирано библиографско свързване× | Анализ на библиографско свързване× | |
|---|---|---|
| Област≠ | Наукометрия | Библиометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1963 (base method); time-sliced variant widely adopted 1990s–2000s | 1963 |
| Създател≠ | Morton M. Kessler (bibliographic coupling); time-sliced extension by various scientometricians | Melvin M. Kessler |
| Тип≠ | Longitudinal bibliometric network analysis | Method |
| Основополагащ източник≠ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. DOI ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| Други названия≠ | longitudinal bibliographic coupling, temporal bibliographic coupling, diachronic bibliographic coupling, time-window bibliographic coupling | document coupling, bibliographic similarity |
| Свързани≠ | 6 | 5 |
| Резюме≠ | Time-sliced bibliographic coupling divides a publication corpus into successive time windows and applies bibliographic coupling analysis within each window to track how research fronts emerge, shift, merge, or disappear across time. It transforms a static snapshot technique into a longitudinal tool for mapping the intellectual evolution of a scientific field, revealing when and how new thematic clusters appear in the literature. | Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords. |
| ScholarGateНабор от данни ↗ |
|
|