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네트워크 기반 매핑 검토×과학 지도 제작×
분야과학계량학계량서지학
계열Process / pipelineProcess / pipeline
기원 연도2000s–2010s2000s
창시자Petticrew & Roberts (mapping review); network overlay adopted from bibliometric network analysis traditionKaty Börner, Chaomei Chen, and others
유형Evidence synthesis method with network analysis overlayMethod
원전Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Publishing. ISBN: 978-1405121101Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗
별칭network mapping review, citation-network mapping review, network-enhanced evidence mapping, network-informed mapping reviewknowledge mapping, domain mapping, research landscape visualization
관련65
요약A 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.
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