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About this paper
Vincent Labatut, Xavier Bost
Vincent Labatut and Xavier Bost's survey offers a comprehensive, structured overview of methodologies for extracting and analyzing fictional character networks from diverse media, synthesizing approaches, identifying medium-specific challenges in automation, and charting future research directions. It provides a foundational reference for the interdisciplinary field.
Key insights
- Character networks are a powerful graph-based paradigm for quantitatively modeling and studying the intricate social structures within fictional narratives.
- Extraction processes face distinct, complex challenges depending on the narrative medium (text, video, comics), requiring specialized and often underdeveloped AI tools for robust automation.
- The dynamic evolution of narrative structures and character relationships remains largely underexplored, with most studies relying on static network representations despite its importance for narrative analysis.
Summary by alphaXiv.
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