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.

本文通过分析三个流行电视剧中提取的角色网络并探索 TV show 在 IMDB 评价中的关系，计算每集的各种网络指标，结果表明角色交互的某些网络指标与电视系列的评论得分有很强的相关性，以此为依据可以帮助 TV producer 更好地了解如何调整未来集数的角色动态来吸引观众以及提升娱乐体验。

电视剧流行度的网络分析视角解读