Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks
<|reference_start|>Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks: 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 \textit{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.<|reference_end|>
@article{amalvy2024interconnected,
    title={Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations
  Across Media Using Complex Networks},
    author={Arthur Amalvy, Madeleine Janickyj, Shane Mannion, P'adraig MacCarron,
  Vincent Labatut},
    journal={Social Network Analysis and Mining 14, 199 (2024)},
    year={2024},
    doi={10.1007/s13278-024-01365-z},
    archivePrefix={arXiv},
    eprint={2410.05453},
    primaryClass={cs.SI cs.CL}
}