เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์คำร่วมโดยใช้ VOSviewer× | การสร้างแผนที่วิทยาศาสตร์× | |
|---|---|---|
| สาขาวิชา≠ | วิทยาศาสตรมิติ | บรรณมิติ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Co-word analysis: 1983; VOSviewer software: 2010 | 2000s |
| ผู้ริเริ่ม≠ | Co-word analysis: Callon et al. (1983); VOSviewer tool: van Eck & Waltman (2010) | Katy Börner, Chaomei Chen, and others |
| ประเภท≠ | Bibliometric network analysis technique | Method |
| แหล่งต้นตำรับ≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. DOI ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| ชื่อเรียกอื่น≠ | keyword co-occurrence analysis via VOSviewer, VOSviewer co-word mapping, keyword network mapping, co-keyword analysis | knowledge mapping, domain mapping, research landscape visualization |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | 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. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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