Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Przegląd oparty na sieciowym mapowaniu× | Science Mapping× | |
|---|---|---|
| Dziedzina≠ | Naukometria | Bibliometria |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2000s–2010s | 2000s |
| Twórca≠ | Petticrew & Roberts (mapping review); network overlay adopted from bibliometric network analysis tradition | Katy Börner, Chaomei Chen, and others |
| Typ≠ | Evidence synthesis method with network analysis overlay | Method |
| Źródło pierwotne≠ | Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Publishing. ISBN: 978-1405121101 | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Inne nazwy≠ | network mapping review, citation-network mapping review, network-enhanced evidence mapping, network-informed mapping review | knowledge mapping, domain mapping, research landscape visualization |
| Pokrewne≠ | 6 | 5 |
| Podsumowanie≠ | A network-based mapping review combines the breadth of a traditional evidence mapping exercise with bibliometric network analysis to chart the structural landscape of a research field. Rather than simply cataloguing studies by topic, this approach constructs citation, co-authorship, or co-word networks to reveal clusters of intellectual activity, influential works, and collaboration patterns — producing both a visual and a descriptive map of the evidence base. | 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. |
| ScholarGateZbiór danych ↗ |
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