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Conference Papers Year : 2024

Analyzing Movie Script Similarity: A Weighted Multilayer Network Approach

Abstract

Measuring similarity between multilayer networks is a challenging task that involves capturing various layers and relationships using distance measures. Existing techniques have limitations in comparing layers with the same number of nodes and ignoring inter-relationships. In this research, we propose a novel approach for measuring similarity between multilayer networks while considering inter-relationships and weighted networks of various sizes. Our approach is applied to multilayer movie networks consisting of layers of different entities (char- acter, keyword, and location) and inter-relationships between them. Our proposed method captures both intra-layer and inter-layer relationships, providing a comprehensive overview of the multilayer network. This approach has potential applications in analyzing movie story structures and social network analysis. Our results demonstrate that our approach improves the accuracy of similarity measurement between multilayer networks.
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Dates and versions

hal-04553586 , version 1 (20-04-2024)

Identifiers

  • HAL Id : hal-04553586 , version 1

Cite

Majda Lafhel, Hocine Cherifi, Mohammed El Hassouni, Benjamin Renoust. Analyzing Movie Script Similarity: A Weighted Multilayer Network Approach. French Regional Conference on Complex Systems, CSS France, May 2024, Montpellier, France. ⟨hal-04553586⟩
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