'I would I had that corporal soundness': Pervez Rizvi's analysis of the Word Adjacency Network method of authorship attribution
dc.cclicence | CC BY | en |
dc.contributor.author | Egan, Gabriel | |
dc.contributor.author | Eisen, Mark | |
dc.contributor.author | Segarra, Santiago | |
dc.contributor.author | Ribeiro, Alejandro | |
dc.date.acceptance | 2023 | |
dc.date.accessioned | 2023-04-18T12:48:30Z | |
dc.date.available | 2023-04-18T12:48:30Z | |
dc.date.issued | 2023 | |
dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
dc.description.abstract | In his two-part article "An Analysis of the Word Adjacency Network Method" (Rizvi 2022a; Rizvi 2022b), Pervez Rizvi attempts to replicate the Word Adjacency Network (WAN) method for authorship attribution and show that it does not produce the new knowledge that we, its inventors, claim for it. In the present essay we will show that Rizvi misrepresents fundamental aspects of the WAN method, that his attempted replication fails not because the method is flawed but because he erred in replicating it, and that Rizvi misunderstands key aspects of the mathematics of Information Theory that the method uses | en |
dc.funder | No external funder | en |
dc.identifier.citation | Eisen, M., Segarra, S., Ribeiro, A. and Egan, G. (2023) 'I would I had that corporal soundness': Pervez Rizvi's analysis of the Word Adjacency Network method of authorship attribution. Digital Scholarship in the Humanities, | en |
dc.identifier.doi | https://doi.org/10.1093/llc/fqad032 | |
dc.identifier.uri | https://hdl.handle.net/2086/22704 | |
dc.language.iso | en | en |
dc.peerreviewed | Yes | en |
dc.publisher | Digital Scholarship in the Humanities | en |
dc.researchinstitute | Institute of English | en |
dc.subject | digital humanities | en |
dc.subject | Shakespeare | en |
dc.subject | computational stylistics | en |
dc.title | 'I would I had that corporal soundness': Pervez Rizvi's analysis of the Word Adjacency Network method of authorship attribution | en |
dc.type | Article | en |
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