Analyzing Movie Script Similarity: A Weighted Multilayer Network Approach
Résumé
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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