A Conceptual Framework for Multilayer Historical Networks

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Ressource 1Télécharger: Grandjean-2020-DARIAHCampus.pdf (3500.78 [Ko])
Etat: Public
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ID Serval
serval:BIB_1EC733111D99
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A Conceptual Framework for Multilayer Historical Networks
Périodique
Sharing the Experience: Workflows for the Digital Humanities. DARIAH-CH Proceedings
Auteur(s)
Grandjean Martin
Statut éditorial
Publié
Date de publication
2020
Langue
anglais
Résumé
The technicality of network visualization applied to history and its relative novelty often result in a superficial use of a software, limited to describing a situation immediately extracted from a data set. This approach is justified in the exploratory phase of an analysis in most cases where the network is very explicitly present in the object studied. But the complexity of the entanglement of historical actors, places, institutions or temporal sequences makes finer modeling necessary if we want to go beyond a simplistic "datafication".
To encourage curiosity towards other modes of analysis and put the data modeling (and therefore the historical sources) at the center of the research process, this article proposes a short introduction on how to discuss what makes a specific historical network, its components, its relationships, its layers and its different facets. It offers a kind of visual guide to help historians follow a multilayer framework to think their research object from another (multidimensional) angle and to combine them.
Mots-clé
social network analysis, digital history, network visualization, data visualization, digital humanities, data modeling, complexity, history, multilayer networks, network analysis, SNA, DH
Création de la notice
04/04/2020 9:50
Dernière modification de la notice
05/04/2020 6:08
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