Uncovering Structure-Rating Associations in Animated Film Character Networks.

ABSTRACT: The narrative structure of animated films plays a critical role in shaping audience perception, yet quantitative investigations into how character interaction networks influence film ratings remain limited. To address this gap, we apply complex network theory to analyze 82 animated films, extracting character networks from narrative interactions and examining key topological features-including centrality heterogeneity, protagonist relative centrality, network density, clustering coefficient, average shortest path length, and semantic diversity of relationships. Our findings demonstrate that higher-rated films are characterized by greater disparities in character centrality, lower network density and efficiency, longer average shortest path lengths, and richer semantic diversity. These stru

SUBMITTER: Zeng J 

PROVIDER: S-EPMC12469051 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature