Corpus ID: 16975213

Text mining and visualization using VOSviewer

@article{Eck2011TextMA,
  title={Text mining and visualization using VOSviewer},
  author={Nees Jan van Eck and Ludo Waltman},
  journal={ArXiv},
  year={2011},
  volume={abs/1109.2058}
}
VOSviewer is a computer program for creating, visualizing, and exploring bibliometric maps of science. In this report, the new text mining functionality of VOSviewer is presented. A number of examples are given of applications in which VOSviewer is used for analyzing large amounts of text data. 
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References

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TLDR
VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals. Expand
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TLDR
A methodology for automatic term identification is proposed and this methodology is used to select the terms to be included in a term map and it turns out that in general the proposed methodology performs quite well. Expand
A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS
TLDR
It is concluded that in general maps constructed using VOS provide a more satisfactory representation of a dataset than maps constructing using well-known MDS approaches. Expand
A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS
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It is concluded that in general Maps constructed using VOS provide a more satisfactory representation of a data set than maps constructed using well-known multidimensional scaling approaches. Expand
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A unified approach to mapping and clustering of bibliometric networks is proposed by showing that the VOS mapping technique and a weighted and parameterized variant of modularity-based clustering can both be derived from the same underlying principle. Expand
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TLDR
An extensive mathematical analysis of normalization methods is presented, indicating that the so-called association strength measure has the most satisfactory mathematical properties. Expand
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