Research Dynamics of Human Resources for Community Health in China

Research Dynamics of Human Resources for Community Health in China

Ma Yinpei (Yan'an University, China) and Zhangjijun Jijun Zhang (Yan'an University, China)
DOI: 10.4018/IJPPPHCE.359895
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Abstract

This paper takes community health human resources as the research theme, based on the three core journals covered by China Knowledge Network as the research material, and adopts Citespace and VOSviewer analysis software to analyse the literature, aiming to reveal the laws and trends of community health human resources research and formulate sustainable development strategies. In order to make more effective use of the potential of community health human resources, it is necessary to improve the job analysis of community health human resources, achieve the coordinated allocation of community health human resources, and improve the scientific evaluation of community health human resources.
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Research Methodology And Research Data

Research Tools

CiteSpace and VOSviewer serve as effective research tools to present the focus of research on a topic, to trace the historical evolution of the research topic and to predict research trends.

CiteSpace

CiteSpace was developed by Dr. Chaomei Chen, Professor of Computing and Intelligence at Drexel University, CiteSpace is a Java-based information visualization software application that integrates citation analysis theory.The software can present the structure, law, and distribution of scientific knowledge, and the analysed graph is called a “scientific knowledge map,” which can show the theoretical viewpoints, evolution paths, development trends, and so on. It serves as a practical literature analysis software application for quantitative analysis.

CiteSpace has the function of analysing the co-occurrence of keywords, the number of citations, and the coupling between related documents, which is widely sought after. In addition, it provides a built-in file format conversion function, which can convert Refworks text exported from CNKI to a format that can be processed by the software for data visualisation and analysis.

With CiteSpace, the distribution of literature materials by year, authors, keyword co-occurrence, keyword clustering, and time zone distribution can be comprehensively analysed, and then a visual knowledge map of selected topics can be drawn. Figure 1 demonstrates the basic operation process of CiteSpace.

Figure 1.

CiteSpace mapping process

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