- Title
- An information theoretic clustering approach for unveiling authorship affinities in Shakespearean era plays and poems
- Creator
- Arefin, Ahmed Shamsul; Vimieiro, Renato; Riveros, Carlos; Craig, Hugh; Moscato, Pablo
- Relation
- ARC.DP120102576 | ARC|DP140104183 http://purl.org/au-research/grants/arc/DP140104183
- Relation
- PLoS One Vol. 9, Issue 10
- Publisher Link
- http://dx.doi.org/10.1371/journal.pone.0111445
- Publisher
- Public Library of Science (PLoS)
- Resource Type
- journal article
- Date
- 2014
- Description
- 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.
- Subject
- Shakespeare; authorship; plays; poems; characteristic styles; statistical analysis
- Identifier
- http://hdl.handle.net/1959.13/1060612
- Identifier
- uon:16800
- Identifier
- ISSN:1932-6203
- Rights
- © 2014 Arefin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Language
- eng
- Full Text
- Reviewed
- Hits: 17454
- Visitors: 4223
- Downloads: 332
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Publisher version (open access) | 1 MB | Adobe Acrobat PDF | View Details Download |