From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change
结合结构主题模型和文献计量分析，研究了《技术预测与社会变革》期刊1969-2022年的主题结构、高被引文章及作者地理分布，揭示其研究热点的演变。
Technological Forecasting and Social Change (TFSC) is one of the most prominent journals to focus on the methodologies and practices of technological forecasting and futures studies. This study aims to analyse the topical structure of TFSC and track the most cited articles published in the journal using a combination of a structural topic model (STM) and bibliometric analysis. The STM reveals 18 prominent topics in TFSC, and the topical quality of the STM results is verified based on semantic coherence and topic exclusivity scores as well as an assessment of the correlations among topics. The STM also tracks the temporal variations in topical prevalence that occurred from 1969 to 2022, shedding light on the changing popularity of each topic. The bibliometric analysis presents a decade-by-decade perspective on the most cited articles and the geographical dispersion of authors affiliated with TFSC, thereby providing a truly global perspective on the journal's publishing activity.