Designing Close and Distant Reading Visualizations for Text Re-use

  • Stefan Jänicke
  • Thomas Efer
  • Marco Büchler
  • Gerik Scheuermann
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 550)


We present various visualizations for the Text Re-use found among texts of a collection to support answering a broad palette of research questions in the humanities. When juxtaposing all texts of a corpus in form of tuples, we propose the Text Re-use Grid as a distant reading method that emphasizes text tuples with systematic or repetitive Text Re-use. The Text Re-use Browser provides a closer look on the Text Re-use between the two texts of a tuple. Additionally, we present Text Re-use Alignment Visualizations to improve the readability of Text Variant Graphs that are used to compare various text editions to each other. Finally, we illustrate the benefit of the proposed visualizations with four usage scenarios for various topics in literary criticism.


Text Re-use Text visualization Text variant graph Literary criticism Digital humanities 



The authors like to thank Sarah Bowen (Aga Khan University), who utilized the presented Text Re-use Visualizations for historic Arabic texts, Eva Wöckener-Gade (Leipzig University), who worked with the Text Re-use Alignment Visualization to analyze the various meanings of ancient Greek terms and Annette Geßner (Göttingen Centre for Digital Humanities) for the collaboration when designing the Text Re-use Visualizations for English Bible translations. This research was funded by the German Federal Ministry of Education and Research.


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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Stefan Jänicke
    • 1
  • Thomas Efer
    • 2
  • Marco Büchler
    • 3
  • Gerik Scheuermann
    • 1
  1. 1.Image and Signal Processing GroupLeipzig UniversityLeipzigGermany
  2. 2.Natural Language Processing GroupLeipzig UniversityLeipzigGermany
  3. 3.Göttingen Centre for Digital HumanitiesUniversity of GöttingenGöttingenGermany

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