Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| VOSviewer-Assistert Kobbelordanalyse× | Tematisk evolusjonsanalyse – Hvordan forskningstemaer endres over tid× | |
|---|---|---|
| Fagfelt | Scientometri | Scientometri |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | Co-word analysis: 1983; VOSviewer software: 2010 | 2011 |
| Opphavsperson≠ | Co-word analysis: Callon et al. (1983); VOSviewer tool: van Eck & Waltman (2010) | Manuel J. Cobo and colleagues (University of Granada) |
| Type≠ | Bibliometric network analysis technique | Quantitative bibliometric technique |
| Opprinnelig kilde≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. DOI ↗ | Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. DOI ↗ |
| Alias | keyword co-occurrence analysis via VOSviewer, VOSviewer co-word mapping, keyword network mapping, co-keyword analysis | TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis |
| Relaterte | 6 | 6 |
| Sammendrag≠ | VOSviewer-assisted co-word analysis is a scientometric pipeline that constructs and visualizes keyword co-occurrence networks from a bibliographic corpus using VOSviewer software. By mapping how often pairs of author-assigned or index keywords appear together in the same publications, the method reveals the intellectual structure of a research field — its dominant themes, emerging topics, and conceptual clusters — producing interactive density and network maps that support systematic interpretation. | Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot. |
| ScholarGateDatasett ↗ |
|
|