Spatial analysis of new testament textual emendations utilizing confusion distances

Journal Article (2019)
Author(s)

V.P. van Altena (TU Delft - Urban Data Science, Vrije Universiteit Amsterdam)

Jan Krans (Vrije Universiteit Amsterdam)

Henk Bakker (Vrije Universiteit Amsterdam)

Balázs Dukai (TU Delft - Urban Data Science)

J. Stoter (TU Delft - Urban Data Science)

Research Group
Urban Data Science
Copyright
© 2019 V.P. van Altena, Jan Krans, Henk Bakker, B. Dukai, J.E. Stoter
DOI related publication
https://doi.org/10.1515/opth-2019-0004
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 V.P. van Altena, Jan Krans, Henk Bakker, B. Dukai, J.E. Stoter
Research Group
Urban Data Science
Issue number
1
Volume number
5
Pages (from-to)
44-65
Reuse Rights

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Abstract

Before the interpretation of any text can start, the original wording of the text itself must be critically established. Conventionally, this is done following qualitative criteria. This article, however, explores the application of spatial analyses to New Testament textual criticism by demonstrating how the Levenshtein edit distance could be adapted to calculate confusion distances for variant readings in New Testament manuscripts, i.e. the possibility that a (combination of) letter(s) is confused by another (combination of) letter(s). Subsequently the outcomes are translated to Euclidian space using classical Multi-Dimensional Scaling, which enables visualisation and spatial analyses (in this case not related to geographical space). The article focuses on the data preparation and algorithm to make the data suitable for spatial analyses, thus providing the New Testament textual critic with new analytical tools.