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ReViz: A Tool for Automatically Generating Citation Graphs and Variants

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Digital Libraries at Times of Massive Societal Transition (ICADL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12504))

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Abstract

A systematic literature review provides an overview of multiple scientific publications in an area of research and visualizations of the data of the systematic review enable further in-depth analyses. The creation of such a review and its visualizations is a very time- and labor-intensive process. For this reason, we propose a tool for automatically generating visualizations for systematic reviews. Using this tool, the citations between the included articles can be depicted in a citation graph. However, because the clearness of the information contained in the citation graph is highly dependent on the number of included publications, several strategies are implemented in order to reduce the complexity of the graph without loosing (much) information. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.

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Notes

  1. 1.

    In addition to the use of Parsifal and the export of data from it, it is also possible to generate a citation graph without creating a systematic review, using a Bibtex file and the referenced publications as PDF documents (local files or remotely accessible via urls) as input. However, the generation of a flow chart is only possible using Parsifal. Since this requires the use of a fork, the modified code of Parsifal is also available in the form of a docker container at https://github.com/l-hartung/parsifal/.

  2. 2.

    We will provide the details in a forthcoming extended paper.

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Authors and Affiliations

  1. Institute of Information Systems (IFIS), University of Lübeck, Lübeck, Germany

    Sven Groppe & Lina Hartung

Authors
  1. Sven Groppe
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  2. Lina Hartung
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Corresponding author

Correspondence to Sven Groppe .

Editor information

Editors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Emi Ishita

  2. National University of Singapore, Singapore, Singapore

    Natalie Lee San Pang

  3. Wuhan University, Wuhan, China

    Lihong Zhou

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Groppe, S., Hartung, L. (2020). ReViz: A Tool for Automatically Generating Citation Graphs and Variants. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-64452-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64451-2

  • Online ISBN: 978-3-030-64452-9

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