‘How the Word Adjacency Network algorithm works’ by Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, and Gabriel Egan

Author:

Brown Paul1,Eisen Mark2,Segarra Santiago3,Ribeiro Alejandro4,Egan Gabriel5

Affiliation:

1. School of Humanities, De Montfort University, UK

2. Intel Labs, Philadelphia, USA

3. Computer Science and Electrical & Computer Engineering, Rice University, USA

4. Department of Electrical and Systems Engineering, University of Pennsylvania, USA

5. School of Humanities, De Montfort University, UK

Abstract

Abstract The Word Adjacency Network (WAN) method is a newly invented method for attributing the authorship of texts based on internal evidence about the proximities of high-frequency words in those texts. The method has been the subject of mathematically rigorous explanations in scientific journals and here is offered instead a relatively non-technical account for humanist readers unfamiliar with advanced mathematical nomenclature. The description will refer to the operation of the algorithm as it is implemented in a newly completed open-source, open-access version that the authors have made available for free unlimited download on the WorldWide Web.

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

Reference16 articles.

1. Language chunking, data sparseness, and the value of a long marker list: Explorations with word N-grams and authorial attribution;Antonia;Literary and Linguistic Computing,2014

2. Computational forensic authorship analysis: Promises and pitfalls;Argamon;Language and Law/Linguagem e Direito,2018

3. Function word adjacency networks and early modern plays;Barber;A Quarterly Journal of Short Articles, Notes and Reviews,2020

4. Style, Computers, and Early Modern Drama

5. Stylometric analysis of early modern English plays;Eisen;Digital Scholarship in the Humanities,2018

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