Representing Multiple Pathways of Textual Flow in the Greek Manuscripts of the Letter of James Using Reduced Median Networks

Spencer, Matthew; Wachtel, Klaus; Howe, Christopher J.

doi:10.1023/b:chum.0000009290.14571.59

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…Phylogenetic techniques, including phylogenetic trees and networks, are starting to be used outside of biology, as their more general applicability becomes more widely known. This has been particularly so in anthropology, including the study of languages, written texts, folk tales, and cultural artifacts . There is much wider applicability, as well, as I am arguing here.…”

Section: Clusters and Networkmentioning

confidence: 87%

Phylogenetic networks: a new form of multivariate data summary for data mining and exploratory data analysis

Morrison

2014

WIREs Data Min & Knowl

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Exploratory data analysis (EDA) involving both graphical displays and numerical summaries of data, is intended to evaluate the characteristics of the data as well as providing a form of data mining. For multivariate data, the best-known visual summaries include discriminant analysis, ordination, and clustering, particularly metric ordinations such as principal components analysis. However, these techniques have limiting mathematical assumptions that are not always realistic. Recently, network techniques have been developed in the biological field of phylogenetics that address some of these limitations. They are now widely used in biology under the name phylogenetic networks, but they are actually of general applicability to any multivariate dataset. Phylogenetic networks are fast and relatively easy to calculate, which makes them ideal as a tool for EDA. This review provides an overview of the field, with particular reference to the use of what are called splits graphs. There are several types of splits graph, which summarize the multivariate data in different ways. Example analyses are presented based on the neighbor-net graph, which seems to be the most generally useful of the available algorithms. This should encourage the more widespread use of these networks whenever a summary of a multivariate dataset is required.

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Section: Clusters and Networkmentioning

confidence: 87%

Phylogenetic networks: a new form of multivariate data summary for data mining and exploratory data analysis

Morrison

2014

WIREs Data Min & Knowl

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“…Producing a stemma in these cases is more complicated, but is not necessarily impossible (e.g. Lee, 1990;Spencer et al, 2004b).…”

Section: Discussionmentioning

confidence: 99%

Article: Collating Texts Using Progressive Multiple Alignment

Spencer

Howe

2004

Computers and the Humanities

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To reconstruct a stemma or do any other kind of statistical analysis of a text tradition, one needs accurate data on the variants occurring at each location in each witness. These data are usually obtained from computer collation programs. Existing programs either collate every witness against a base text or divide all texts up into segments as long as the longest variant phrase at each point. These methods do not give ideal data for stemma reconstruction. We describe a better collation algorithm (progressive multiple alignment) that collates all witnesses word by word without a base text, adding groups of witnesses one at a time, starting with the most closely related pair.

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“…The latter work dedicates discussion to which variants to use for building the unoriented stemma, and it orients this stemma on philological grounds; the former work presents a stemma of the tradition, but this stemma is rooted arbitrarily close to the oldest manuscript. Not long after this, Matthew Spencer, Klaus Wachtel, and Christopher J. Howe applied similar techniques to the New Testament to produce unoriented stemmata and median networks (which are similar to stemmata, but allow converging branches in order to accommodate mixture in the tradition) for the Epistle of James (Spencer, Wachtel, andHowe 2002, 2004), although neither of these studies attempted to orient the resulting stemma or network. Later, Stephen C. Carlson used similar methods to produce an unoriented stemmata for the Epistle to the Galatians and took the additional step of orienting the stemma (Carlson 2015).…”

Section: Previous Workmentioning

confidence: 99%

Using Bayesian Phylogenetics to Infer Manuscript Transmission History

McCollum

Turnbull

2023

Preprint

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Bayesian phylogenetic methods offer various models that would be especially suitable in the reconstruction of textual traditions, but text-critical applications of phylogenetics to date have generally not taken advantage of these features. In this paper, we offer a way forward for text-critical phylogenetics. On the side of theory, we highlight multiple Bayesian phylogenetic models and discuss their relevance to textual criticism. More practically, we show how TEI XML collations of textual traditions can be encoded to facilitate robust analyses using these models in BEAST 2, with the teiphy Python package mediating the conversion from TEI XML to BEAST XML. Finally, we give a proof of concept for this approach, showing that the results of BEAST 2 analyses of a sample collation of the Epistle to the Ephesians under different clock models cohere with established findings on the textual tradition of this work.

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Representing Multiple Pathways of Textual Flow in the Greek Manuscripts of the Letter of James Using Reduced Median Networks

Cited by 12 publications

References 14 publications

Phylogenetic networks: a new form of multivariate data summary for data mining and exploratory data analysis

Phylogenetic networks: a new form of multivariate data summary for data mining and exploratory data analysis

Article: Collating Texts Using Progressive Multiple Alignment

Using Bayesian Phylogenetics to Infer Manuscript Transmission History

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