Paper
13 January 2023 Research trends of human resource management: a bibliometric analysis based on keywords network topological structure
Xiaolu Zhang, Mingyuan Ma
Author Affiliations +
Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125100J (2023) https://doi.org/10.1117/12.2656769
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China
Abstract
From a perspective of research output, we use the papers in the human resource management field in the Web of Science database as the data basis and proposes an analysis method of the development trend of human resource management based on the keyword co-occurrence network. The critical research content in this field is obtained from the primary geometric feature and network centrality of the keyword co-occurrence network. By extracting network subgraphs, the paper analyzes the research hotspots of three crucial countries, including the United States, the United Kingdom and China. Finally, based on different time windows, the research trend in human resource management is drawn.
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Xiaolu Zhang and Mingyuan Ma "Research trends of human resource management: a bibliometric analysis based on keywords network topological structure", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125100J (13 January 2023); https://doi.org/10.1117/12.2656769
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KEYWORDS
Analytical research

Document management

Data modeling

Databases

Scientific research

Statistical analysis

Research management

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