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Library and Information Science Papers Discussed on Twitter: A new Network-based Approach for Measuring Public Attention

Journal of Data and Information Science
Volume 5 (2020): Issue 3 (August 2020)
By:
Open Access
|Jul 2020

Figures & Tables

Figure 1

Top-65 author keywords of LIS papers published between 2011 and 2017. An interactive version of this network can be viewed at https://tinyurl.com/qwvtoeq. Note that the colour scheme may be different in the interactive version.
Top-65 author keywords of LIS papers published between 2011 and 2017. An interactive version of this network can be viewed at https://tinyurl.com/qwvtoeq. Note that the colour scheme may be different in the interactive version.

Figure 2

Top-64 author keywords of not-tweeted LIS papers published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/u3569lc. Note that the colour scheme may be different in the interactive version.
Top-64 author keywords of not-tweeted LIS papers published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/u3569lc. Note that the colour scheme may be different in the interactive version.

Figure 3

Top-63 author keywords of LIS papers tweeted and published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/rfmy4vz. Note that the colour scheme may be different in the interactive version.
Top-63 author keywords of LIS papers tweeted and published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/rfmy4vz. Note that the colour scheme may be different in the interactive version.

Figure 4

Top-65 author keywords of LIS papers tweeted, mentioned in news outlets at least once, and published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/twssvt5. Note that the colour scheme may be different in the interactive version.
Top-65 author keywords of LIS papers tweeted, mentioned in news outlets at least once, and published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/twssvt5. Note that the colour scheme may be different in the interactive version.

Figure 5

Top-65 hashtags from tweets which mentioned a LIS paper published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/sv8gpax. Note that the colour scheme may be different in the interactive version.
Top-65 hashtags from tweets which mentioned a LIS paper published between 2011 and 2017. An interactive version of this network can be viewed at: https://tinyurl.com/sv8gpax. Note that the colour scheme may be different in the interactive version.

Overlap between top author keywords_ The lower triangle shows the absolute number of overlapping keywords and the upper triangle shows the proportion of overlapping keywords_

AllNot tweetedTweetedTweeted and mentioned in the news
All6585.9%74.6%36.9%
Not tweeted556458.7%29.7%
Tweeted47376344.4%
Tweeted and mentioned in the news24192865
DOI: https://doi.org/10.2478/jdis-2020-0017 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 5 - 17
Submitted on: Jan 21, 2020
Accepted on: May 20, 2020
Published on: Jul 3, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Altmetrics,
Twitter,
News,
Hashtags,
Author keywords
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2020 Robin Haunschild, Loet Leydesdorff, Lutz Bornmann, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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