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| 연구 전선 식별× | VOSviewer와 CiteSpace: 서지 분석 및 시각화 도구× | |
|---|---|---|
| 분야 | 계량서지학 | 계량서지학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1990s–2000s | 2006–2010 |
| 창시자≠ | Chaomei Chen and others | Nees Jan van Eck & Ludo Waltman (VOSviewer); Chaomei Chen (CiteSpace) |
| 유형≠ | Method | Tool |
| 원전≠ | Chen, C., & Paul, R. J. (1997). Visualizing a knowledge domain's intellectual structure. IEEE Computer, 30(3), 65–71. link ↗ | Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ |
| 별칭≠ | emerging research detection, research frontier mapping, hot topic identification, emerging field analysis | bibliometric mapping software, citation visualization tools, science mapping tools |
| 관련≠ | 5 | 4 |
| 요약≠ | Research front identification is a bibliometric method for detecting emerging or cutting-edge research areas within a larger research landscape. A 'research front' is a cluster of recently published, highly-cited papers that define the current active research direction in a field. Unlike established research communities (identifiable through co-citation networks and slow-changing patterns), research fronts are characterized by rapid growth, high citation velocity (papers accumulating citations quickly), and weak historical ties to established literature. Developed systematically by Chen and others in the 1990s–2000s, research front identification enables researchers, funders, and policy makers to track where scientific activity is concentrating and where breakthrough research is emerging. | VOSviewer and CiteSpace are specialized software tools designed to conduct bibliometric analysis and create science maps from research literature. VOSviewer (developed by Van Eck & Waltman, 2010) excels at creating publication landscapes through co-occurrence, co-citation, and bibliographic coupling analysis with intuitive visual output. CiteSpace (developed by Chaomei Chen, 2006) focuses on detecting emerging research trends and research fronts through direct citation analysis and specialized temporal algorithms. Together, these tools democratized science mapping, enabling researchers without programming expertise to visualize research domains comprehensively. |
| ScholarGate데이터셋 ↗ |
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