A multi-agent LLM system with a vector database extracts narrative arcs from TV episode summaries, scoring 89% precision on self-contained arcs while missing overlapping relationship arcs.
Network Science Predicts Who Dies Next in Game of Thrones
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abstract
Social network analysis and machine learning have found countless applications in recent years. As an example, this short project was carried out in 2017 and was followed by some media attention, with the following goal: to bring network science and predictive modeling together on the subject of the popular TV and book series, Game of Thrones, and predict which key characters are likely to meet their ends.
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Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV
A multi-agent LLM system with a vector database extracts narrative arcs from TV episode summaries, scoring 89% precision on self-contained arcs while missing overlapping relationship arcs.