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Topic Evolution and Emerging Topic Analysis Based on Open Source Software

Xiang Shen

Xiang Shen

National Science Library, Chinese Academy of SciencesBeijing, China
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Shen, Xiang
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Li Wang

Li Wang

Department of Library, Information and Archives Management of University of Chinese Academy of SciencesBeijing, China
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Wang, Li
  
Sep 07, 2020
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Article Category: Research Paper
Published Online: Sep 07, 2020
Page range: 126 - 136
Received: Jan 23, 2020
Accepted: Jul 20, 2020
DOI: https://doi.org/10.2478/jdis-2020-0033
Keywords
© 2020 Xiang Shen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

A temporal evolution map of VOSviewer.
A temporal evolution map of VOSviewer.

Figure 2

A map file generated by VOSviewer.
A map file generated by VOSviewer.

Figure 3

The general approach to topic evolution and emerging topic analysis based on VOSviewer and Microsoft Office.
The general approach to topic evolution and emerging topic analysis based on VOSviewer and Microsoft Office.

Figure 4

The annual number of research articles on PSCs indexed in Scopus from 1999 to 2018.
The annual number of research articles on PSCs indexed in Scopus from 1999 to 2018.

Figure 5

A part of the thesaurus constructed for PSCs in VOSviewer.
A part of the thesaurus constructed for PSCs in VOSviewer.

Figure 6

Topic evolution for PSCs.
Topic evolution for PSCs.

Figure 7

Detecting emerging terms using Excel's “LOOKUP” function.
Detecting emerging terms using Excel's “LOOKUP” function.

Figure 8

Examples of emerging PSC Terms from 2014 to 2018.
Examples of emerging PSC Terms from 2014 to 2018.

Figure 9

Variation in PSC term occurrence.
Variation in PSC term occurrence.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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