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| Verkostoihin perustuva kartoitus (Network-based Mapping Review)× | Yhteisviittausanalyysi× | |
|---|---|---|
| Tieteenala≠ | Scientometriikka | Bibliometriikka |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2000s–2010s | 1973 |
| Kehittäjä≠ | Petticrew & Roberts (mapping review); network overlay adopted from bibliometric network analysis tradition | Henry Small |
| Tyyppi≠ | Evidence synthesis method with network analysis overlay | Method |
| Alkuperäislähde≠ | Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Publishing. ISBN: 978-1405121101 | Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI ↗ |
| Rinnakkaisnimet | network mapping review, citation-network mapping review, network-enhanced evidence mapping, network-informed mapping review | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Liittyvät≠ | 6 | 5 |
| Tiivistelmä≠ | 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. | Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time. |
| ScholarGateAineisto ↗ |
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