History to Myths: Social Network Analysis for Comparison of Stories over Time

Clément Besnier


Abstract
We discuss on how related stories can be compared by their characters. We investigate character graphs, or social networks, in order to measure evolution of character importance over time. To illustrate this, we chose the Siegfried-Sigurd myth that may come from a Merovingian king named Sigiberthus. The Nibelungenlied, the Völsunga saga and the History of the Franks are the three resources used.
Anthology ID:
2020.latechclfl-1.1
Volume:
Proceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Month:
December
Year:
2020
Address:
Online
Venues:
CLFL | COLING | LaTeCH | LaTeCHCLfL
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
1–9
Language:
URL:
https://aclanthology.org/2020.latechclfl-1.1
DOI:
Bibkey:
Cite (ACL):
Clément Besnier. 2020. History to Myths: Social Network Analysis for Comparison of Stories over Time. In Proceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 1–9, Online. International Committee on Computational Linguistics.
Cite (Informal):
History to Myths: Social Network Analysis for Comparison of Stories over Time (Besnier, LaTeCHCLfL 2020)
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PDF:
https://aclanthology.org/2020.latechclfl-1.1.pdf
Code
 clemsciences/latech-clfl-2020-besnier