An information theoretic clustering approach for unveiling authorship affinities in Shakespearean era plays and poems.

Ahmed Shamsul Arefin, Renato Vimieiro, Carlos Riveros, Hugh Craig, Pablo Moscato

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Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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2 citing papers in PubMed.

Network subgraph-based approach for analyzing and comparing molecular networks.PeerJ · 2022
Article
Using Shakespeare's Sotto Voce to Determine True Identity From Text.Frontiers in psychology · 2018
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5 authors.

Ahmed Shamsul ArefinCentre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.

Renato VimieiroCentre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.

Carlos RiverosCentre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.

Hugh CraigCentre for Literary and Linguistic Computing, The University of Newcastle, Callaghan, New South Wales, Australia.

Pablo MoscatoCentre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we analyse the word frequency profiles of a set of works from the Shakespearean era to uncover patterns of relationship between them, highlighting the connections within authorial canons. We used a text corpus comprising 256 plays and poems from the 16th and 17th centuries, with 17 works of uncertain authorship. Our clustering approach is based on the Jensen-Shannon divergence and a graph partitioning algorithm, and our results show that authors' characteristic styles are very powerful factors in explaining the variation of word use, frequently transcending cross-cutting factors like the differences between tragedy and comedy, early and late works, and plays and poems. Our method also provides an empirical guide to the authorship of plays and poems where this is unknown or disputed.

Indexed as

Models, TheoreticalAuthorshipCluster AnalysisDramaEnglandHistory, 16th CenturyHistory, 17th CenturyPoetry as Topic

Identifiers

PMID25347727

DOI10.1371/journal.pone.0111445

PMCPMC4210181

What OpenQuestion holds

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LicenceCC BY

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