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Visualizing the scientific world and its evolution

Author

Listed:
  • I. Samoylenko
  • T.‐C. Chao
  • W.‐C. Liu
  • C.‐M. Chen

Abstract

We propose an approach to visualizing the scientific world and its evolution by constructing minimum spanning trees (MSTs) and a two‐dimensional map of scientific journals using the database of the Science Citation Index (SCI) during 1994–2001. The structures of constructed MSTs are consistent with the sorting of SCI categories. The map of science is constructed based on our MST results. Such a map shows the relation among various knowledge clusters and their citation properties. The temporal evolution of the scientific world can also be delineated in the map. In particular, this map clearly shows a linear structure of the scientific world, which contains three major domains including physical sciences, life sciences, and medical sciences. The interaction of various knowledge fields can be clearly seen from this scientific world map. This approach can be applied to various levels of knowledge domains.

Suggested Citation

  • I. Samoylenko & T.‐C. Chao & W.‐C. Liu & C.‐M. Chen, 2006. "Visualizing the scientific world and its evolution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1461-1469, September.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:11:p:1461-1469
    DOI: 10.1002/asi.20450
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    Cited by:

    1. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    2. Quirin, Arnaud & Cordón, Oscar & Vargas-Quesada, Benjamín & de Moya-Anegón, Félix, 2010. "Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms," Journal of Informetrics, Elsevier, vol. 4(3), pages 291-312.
    3. Chan-Yuan Wong, 2019. "A century of scientific publication: towards a theorization of growth behavior and research-orientation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 357-377, April.
    4. Yunwei Chen & Katy Börner & Shu Fang, 2013. "Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1051-1070, June.
    5. Kevin W. Boyack & Katy Börner & Richard Klavans, 2009. "Mapping the structure and evolution of chemistry research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 45-60, April.
    6. Jiqing Liu & Gui Zhang & Xiaojing Lv & Jiayu Li, 2022. "Discovering the Landscape and Evolution of Responsible Research and Innovation (RRI): Science Mapping Based on Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-32, July.

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