Department of Computer Engineering, Chung-Ang University, Seoul, Korea.
PLoS One. 2023 Apr 20;18(4):e0284613. doi: 10.1371/journal.pone.0284613. eCollection 2023.
Synergistic effects between movie actors have been regarded as an important indicator when they are casted in a new movie. People simply assume that synergistic effect is symmetric. The aim of this study is to understand the asymmetric synergy between actors. We propose an asymmetric synergy measurement method for actor's star-power-based costarring movies to understand the synergistic effect. When measuring the synergy, we designed it so that it would be possible to measure the synergy that varies with the time of the costarring movie's release and the synergy of new actors. Measured synergies were analyzed on an actor's synergy and asymmetric synergy between actors to examine the characteristics of highly synergistic actors and the asymmetric synergy between actors. Moreover, we confirmed that measuring synergies asymmetrically demonstrated better prediction performance in various evaluation metrics (accuracy, precision, recall, and F1-score) than measuring synergies symmetrically through the synergy prediction experiment using synergy and asymmetric synergy.
电影演员之间的协同效应一直被认为是他们出演新电影时的一个重要指标。人们简单地假设协同效应是对称的。本研究旨在了解演员之间的非对称协同效应。我们提出了一种基于演员明星效应的合作电影的非对称协同度量方法，以了解协同效应。在测量协同效应时，我们设计了一种方法，使其能够测量随合作电影上映时间变化的协同效应和新演员的协同效应。对演员的协同效应和演员之间的非对称协同效应进行了测量协同效应分析，以检验高度协同效应演员和演员之间非对称协同效应的特征。此外，我们通过使用协同效应和非对称协同效应的协同预测实验证实，非对称地测量协同效应比对称地测量协同效应在各种评估指标（准确性、精度、召回率和 F1 分数）上具有更好的预测性能。
