Article Dans Une Revue Social Network Analysis and Mining Année : 2024

Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks

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In this article, we propose and apply a method to compare adaptations of the same story across different media. We tackle this task by modelling such adaptations through character networks. We compare them by leveraging two concepts at the core of storytelling: the characters involved, and the dynamics of the story. We propose several methods to match characters between media and compare their position in the networks; and perform narrative matching, i.e. match the sequences of narrative units that constitute the plots. We apply these methods to the novel series A Song of Ice and Fire, by G.R.R. Martin, and its comics and TV show adaptations. Our results show that interactions between characters are not sufficient to properly match individual characters between adaptations, but that using some additional information such as character affiliation or gender significantly improves the performance. On the contrary, character interactions convey enough information to perform narrative matching, and allow us to detect the divergence between the original novels and its TV show adaptation.

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Cite 10.5281/zenodo.13893061 Jeu de données Amalvy, A., Janickyj, M., Mannion, S., MacCarron, P., & Labatut, V. (2024). Character Networks of ‘A Song of Ice and Fire’ Adaptations Across Media (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/ZENODO.13893061

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hal-04722579 , version 1 (05-10-2024)

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Arthur Amalvy, Madeleine Janickyj, Shane Mannion, Pádraig Maccarron, Vincent Labatut. Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks. Social Network Analysis and Mining, 2024, 14, pp.199. ⟨10.1007/s13278-024-01365-z⟩. ⟨hal-04722579⟩

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