Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
Dominique-Vivant Denon Research Centre, Paris, France.
PLoS One. 2024 Mar 29;19(3):e0300957. doi: 10.1371/journal.pone.0300957. eCollection 2024.
This paper introduces network science to museum studies. The spatial structure of the museum and the exhibit display largely determine what visitors see and in which order, thereby shaping their visit experience. Despite the importance of spatial properties in museum studies, few scientific tools have been developed to analyze and compare the results across museums. This paper introduces the six habitually used network science indices and assesses their applicability to museum studies. Network science is an empirical research field that focuses on analyzing the relationships between components in an attempt to understand how individual behaviors can be converted into collective behaviors. By taking the museum and the visitors as the network, this methodology could reveal unknown aspects of museum functions and visitor behavior, which could enhance exhibition knowledge and lead to better methods for creating museum narratives along the routes.
本文将网络科学引入博物馆研究。博物馆的空间结构和展品展示在很大程度上决定了游客看到的内容和顺序，从而塑造了他们的参观体验。尽管空间属性在博物馆研究中很重要，但很少有科学工具被开发出来用于分析和比较不同博物馆的结果。本文介绍了六个常用的网络科学指标，并评估了它们在博物馆研究中的适用性。网络科学是一个实证研究领域，专注于分析组件之间的关系，试图了解如何将个体行为转化为集体行为。通过将博物馆和游客视为网络，这种方法可以揭示博物馆功能和游客行为的未知方面，从而增强展览知识，并为沿途创建博物馆叙事提供更好的方法。
