השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| סקירת מיפוי מבוססת רשת× | מיפוי מדעי× | |
|---|---|---|
| תחום≠ | סיינטומטריה | ביבליומטריה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2000s–2010s | 2000s |
| הוגה השיטה≠ | Petticrew & Roberts (mapping review); network overlay adopted from bibliometric network analysis tradition | Katy Börner, Chaomei Chen, and others |
| סוג≠ | Evidence synthesis method with network analysis overlay | Method |
| מקור מכונן≠ | 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 ↗ |
| כינויים≠ | network mapping review, citation-network mapping review, network-enhanced evidence mapping, network-informed mapping review | knowledge mapping, domain mapping, research landscape visualization |
| קשורות≠ | 6 | 5 |
| תקציר≠ | 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. |
| ScholarGateמערך נתונים ↗ |
|
|