In this paper, we analyze the character networks extracted from three popular television series and explore the relationship between a TV show episode's character network metrics and its review from IMDB. Character networks are graphs created from the plot of a TV show that represents the interactions of characters in scenes, indicating the presence of a connection between them. We calculate various network metrics for each episode, such as node degree and graph density, and use these metrics to explore the potential relationship between network metrics and TV series reviews from IMDB. Our results show that certain network metrics of character interactions in episodes have a strong correlation with the review score of TV series. Our research aims to provide more quantitative information that can help TV producers understand how to adjust the character dynamics of future episodes to appeal to their audience. By understanding the impact of character interactions on audience engagement and enjoyment, producers can make informed decisions about the development of their shows.

翻译：本文分析了三部热门电视剧中提取的角色网络，并探讨了单集角色网络指标与其在IMDB上评分之间的关系。角色网络是基于电视剧剧情构建的图，通过角色在场景中的互动关系来表征角色之间的关联。我们计算了每集剧集的多项网络指标（如节点度数和图密度），并利用这些指标探究网络特征与IMDB电视剧评分之间的潜在关联。研究结果表明，剧集中角色互动的某些网络指标与电视剧评分存在显著相关性。本研究旨在提供更多量化信息，帮助制片人理解如何调整后续剧集的角色动态以吸引观众。通过揭示角色互动对观众参与度和满意度的影响，制片人能够为剧集创作做出更明智的决策。