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Journals
Journal of Data and Information Science
Volume 5 (2020): Issue 4 (November 2020)
Open Access
Topic Evolution and Emerging Topic Analysis Based on Open Source Software
Xiang Shen
Xiang Shen
and
Li Wang
Li Wang
| Sep 07, 2020
Journal of Data and Information Science
Volume 5 (2020): Issue 4 (November 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
Topic evolution
,
Emerging topics
,
Text mining
,
Thesaurus
,
VOSviewer
© 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.
Figure 2
A map file generated by VOSviewer.
Figure 3
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.
Figure 5
A part of the thesaurus constructed for PSCs in VOSviewer.
Figure 6
Topic evolution for PSCs.
Figure 7
Detecting emerging terms using Excel's “LOOKUP” function.
Figure 8
Examples of emerging PSC Terms from 2014 to 2018.
Figure 9
Variation in PSC term occurrence.