Comparative network analysis as a new approach to the editorship profiling task: A case study of the Mishnah and Tosefta from Rabbinic literature.
Social network analysis of characters in historical works is a popular research methodology in the study of historical literature. This article proposes using this methodology to characterize and comparatively analyze editing styles of similar historical literary works to determine whether they were...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 4; pp. 1720 - 1740 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=174444625&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174444625 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2023 vid: 38 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 174444625 10.1093/llc/fqad038 ppf: 1720 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.5MB tig: atl: Comparative network analysis as a new approach to the editorship profiling task: A case study of the Mishnah and Tosefta from Rabbinic literature. aug: au: Zadok, Avital Zhitomirsky-Geffet, Maayan Schler, Jonathan Katzoff, Binyamin affil: Bar-Ilan University , Ramat-Gan, Israel Holon Institute of Technology , Israel su: Mishnah Historical literature Social network analysis Comparative studies Genome editing sug: subj: Mishnah Historical literature Social network analysis Comparative studies Genome editing ab: Social network analysis of characters in historical works is a popular research methodology in the study of historical literature. This article proposes using this methodology to characterize and comparatively analyze editing styles of similar historical literary works to determine whether they were edited by the same hand. To that end, the study proposes constructing a network of characters for each of the works being studied and to compute standard statistical measures for these networks, thus producing a network-based profile for the editing style of each work, which can be compared to the profiles of various other works. To determine the effectiveness of this new approach, it was tested on two similar works from the realm of Rabbinic literature—the Mishnah and the Tosefta. Our findings show that despite the abundant structural, thematic, and linguistic similarities of the works, their network-based profiles demonstrated clear differences between them with respect to various parameters, like the degree of connectivity, density, and centrality of the networks and their communities, and also with respect to the usage of different types of relationships in each network. These differences are reflected in the network features of the works, rather than in their texts, and so it would be difficult to identify them using direct stylometric analysis on the texts of the works, especially given the stylistic and thematic similarity between them. The approach presented in this article forms a basis for developing automatic classifiers to identify different editors and editing styles based on works' network-based profiles. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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