Network analysis of medieval manuscript transmission

Manuscripts are the main source for the study of medieval history and culture. Their features, production, circulation and transmission have been the subject of research from different disciplines and perspectives. This presentation will introduce an innovative way to investigate medieval manuscript...

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Détails bibliographiques
Publié dans:Journal of historical network research
Auteur principal: Fernández Riva, Gustavo 1985- (Auteur)
Type de support: Électronique Article
Langue:Anglais
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Publié: Université du Luxembourg 2019
Dans: Journal of historical network research
Année: 2019, Volume: 3, Pages: 30-49
Sujets non-standardisés:B Medieval Studies
B Middle High German
B Humanités numériques
B Network Analysis
B shared manuscript transmission
B Manuscripts
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Description
Résumé:Manuscripts are the main source for the study of medieval history and culture. Their features, production, circulation and transmission have been the subject of research from different disciplines and perspectives. This presentation will introduce an innovative way to investigate medieval manuscript transmission using network analysis. The computational study of networks has recently shown some great advancement, both as a visualization strategy and as a mathematical model to study complex phenomena, and can be very productively applied to medieval book history. This presentation will focus on the theoretical and technical foundations to create a network of shared manuscript transmission. These networks allow researchers to apply innovative exploratory visualization techniques and statistical methods. As a test sample, a network created to examine the shared manuscript transmission of texts written in German will be presented. The data for this research has been compiled from the online database Handschriftencensus and it has been processed and analyzed using Python and Gephi. The focus of the article are the theories, methods and strategies to create a network of shared manuscript transmission, why they are a valuable research method and how to evaluate and analyze their features.
ISSN:2535-8863
Contient:Enthalten in: Journal of historical network research
Persistent identifiers:DOI: 10.25517/jhnr.v3i1.61