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Chapitre D'ouvrage Année : 2020

Movie Script Similarity Using Multilayer Network Portrait Divergence

Résumé

This paper addresses the question of movie similarity through multilayer graph similarity measures. Recent work has shown how to construct multilayer networks using movie scripts, and how they capture different aspects of the stories. Based on this modeling, we propose to rely on the multilayer structure and compute different similarities, so we may compare movies, not from their visual content, summary, or actors, but actually from their own storyboard. We propose to do so using "portrait divergence", which has been recently introduced to compute graph distances from summarizing graph characteristics. We illustrate our approach on the series of six Star Wars movies.
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Dates et versions

hal-03201616 , version 1 (19-04-2021)

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Majda Lafhel, Hocine Cherifi, Benjamin Renoust, Mohammed El hassouni, Youssef Mourchid. Movie Script Similarity Using Multilayer Network Portrait Divergence. Complex Networks & Their Applications IX pp 284-295, pp.284 - 295, 2020, ⟨10.1007/978-3-030-65347-7_24⟩. ⟨hal-03201616⟩
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