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International Conference on Health Information Science

HIS 2017: Health Information Science pp 89–101Cite as

A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10594))

Abstract

This paper aims at discovering the recent research status of diabetes in China through a data-driven bibliometrics and knowledge mapping analysis method on diabetes-related literature. With the basis of 24,561 publication documents from CNKI during 2007–2016, the quantitative analysis are conducted in three aspects: (1) descriptive statistical method for acquiring literature distribution characteristics; (2) hierarchical clustering, k-means clustering analysis, and multidimensional scaling analysis based on a keyword co-occurrence matrix for discovering research hotspots; and (3) network analysis for revealing cooperation relationships among authors and affiliations. The result shows some findings about the recent diabetes research in China. It also demonstrates the close cooperation of diabetes research among productive authors and affiliations through network generation and visualization.

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Notes

  1. 1.

    http://www.zhukun.org/haoty/resources.asp?id=HIS2017_author_100.

  2. 2.

    http://www.zhukun.org/haoty/resources.asp?id=HIS2017_affiliation_50.

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Acknowledgements

The work was supported by National Natural Science Foundation of China (No. 61772146 & 61403088), Frontier and Key Technology Innovation Special Grant of Guangdong Province (No. 2014B010118005), Public Interest Research and Capability Building Grant of Guangdong Province (No. 2014A020221039), and Innovative School Project in Higher Education of Guangdong Province (No. YQ2015062).

Author information

Authors and Affiliations

  1. School of Economics, Jinan University, Guangzhou, China

    Xieling Chen

  2. The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China

    Heng Weng

  3. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China

    Tianyong Hao

Authors
  1. Xieling Chen
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  2. Heng Weng
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  3. Tianyong Hao
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Corresponding authors

Correspondence to Heng Weng or Tianyong Hao .

Editor information

Editors and Affiliations

  1. Centre for Applied Informatics, Victoria University, Melbourne, Victoria, Australia

    Siuly Siuly

  2. Vrije University of Amsterdam, Amsterdam, The Netherlands

    Zhisheng Huang

  3. University of Nottingham, Nottingham, United Kingdom

    Uwe Aickelin

  4. Swinburne University of Technology, Melbourne, Victoria, Australia

    Rui Zhou

  5. Victoria University, Melbourne, Victoria, Australia

    Hua Wang

  6. Victoria University, Melbourne, Victoria, Australia

    Yanchun Zhang

  7. Institute for High Energy Physics, Protvino, Russia

    Stanislav Klimenko

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Chen, X., Weng, H., Hao, T. (2017). A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China. In: Siuly, S., et al. Health Information Science. HIS 2017. Lecture Notes in Computer Science(), vol 10594. Springer, Cham. https://doi.org/10.1007/978-3-319-69182-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-69182-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69181-7

  • Online ISBN: 978-3-319-69182-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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