DOI: https://doi.org/10.61957/joerai-20230315

Title: Hotspot Exploration of Museums in China Based on the K-means Model

Author: Zhongsheng Wang, Minlu Wang and Qiang Shi

Abstract

Over the past two decades, museums have witnessed flourishing growth and have evolved into open public spaces that encompass functions such as exhibition, education, collection, research, and services. Interdisciplinary and cross-domain research has emerged as a prevailing trend in academic investigations. Analyzing the literature hotspots within the context of museums serves to assist scholars in swiftly grasping prominent issues and forthcoming trends in this field, as well as furnishing a theoretical foundation for interdisciplinary convergence. [Method/Process] This study takes the years from 2016 to 2023, focusing on museums as its principal theme. It employs complex network techniques to construct a co-occurrence network of literature keywords. Gephi network analysis and visualization tools are harnessed for the exploration of the thematic landscape embedded within museum-related literature. [Conclusion] Following the identification of hot research topics in museum-related literature, this study offers a comprehensive analysis of the salient features characterizing existing literature hotspots. It endeavors to proffer hot topics and research directions in the domain of museum-related studies, thereby providing valuable guidance and reference points for subsequent research endeavors in this field.