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Visualization analysis of big data research based on Citespace

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Abstract

In recent years, with the massive growth of data, the world today has entered the era of big data. Big data has brought tremendous value to all fields of today’s society, and it has also brought enormous challenges, which has attracted great attention from all walks of life. Analyze and forecast the research hotspots and future development trends in the field of big data, and understand the development changes and priorities in the field of big data research, which will play a significant role in promoting the development of social development and scientific research. In the era of big data, how to extract information from huge amounts of complex data and present complex information more clearly and clearly, the most effective way is to use visualization technology. The article uses the information visualization software Citespace to study the data related to big data in the Web of Science and CNKI database from 2008 to 2017 for 10 years, from macro to micro to the representative countries of the literature, keywords and co-cited documents. Through visualization analysis, the article clarifies the key research directions, key documents and hot spot frontiers in the field of big data research, forecasts the future development trends in this field, and compares the research situation at home and abroad, in order to provide readers and other researchers with certain reference and help.

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Notes

  1. http://www.analytictech.com/ucinet/.

  2. http://pajek.imfm.si/doku.php?id=pajek.

  3. http://cluster.cis.drexel.edu/cchen/citespace/.

  4. http://www.umu.se/inforsk/Bibexcel/.

  5. http://gephi.org.

  6. https://www.vosviewer.com/.

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Acknowledgements

This paper is funded by the National Natural Science Special Fund Project (61340058) and the Zhejiang Provincial Natural Science Fund Key Project (LZ14F020001).

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Authors and Affiliations

  1. School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, China

    Weihong Wang & Chang Lu

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  1. Weihong Wang
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  2. Chang Lu
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Correspondence to Chang Lu.

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Communicated by Mu-Yen Chen.

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Wang, W., Lu, C. Visualization analysis of big data research based on Citespace. Soft Comput 24, 8173–8186 (2020). https://doi.org/10.1007/s00500-019-04384-7

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