The Department of Cognitive and Brain Sciences and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Sci Rep. 2020 Jan 31;10(1):1565. doi: 10.1038/s41598-020-58549-8.
Complex social systems at various scales of analysis (e.g. dyads, families, tribes, etc.) are formed and maintained through verbal interactions. Therefore, the ability to (1) model these interactions and (2) to use models of interaction for identifying significant relations may be of interest to the social sciences. Adopting the perspective of social physics, we present a general approach for modeling interactions through relative entropy. For illustrating the benefits of the approach, we derive measures of "perspective-taking" and use them for identifying significant-romantic relations in a data set composed of the verbal interactions taken place at the famous TV series "Sex and the City". Using these measures, we show that significant-romantic relations can be identified with success. These results provide preliminary support for the benefits of using the proposed approach.
复杂的社会系统在各种分析尺度上（例如，对偶关系、家庭、部落等）是通过言语互动形成和维持的。因此，（1）建模这些互动以及（2）使用互动模型来识别重要关系，可能是社会科学感兴趣的。我们从社会物理学的角度出发，提出了一种通过相对熵来建模互动的通用方法。为了说明该方法的优势，我们推导出了“换位思考”的度量，并将其用于识别由著名电视剧《欲望都市》中的口头互动组成的数据集的显著浪漫关系。使用这些度量，我们表明可以成功地识别显著的浪漫关系。这些结果为使用所提出的方法的优势提供了初步支持。
