Visualization Analysis on Intellectual Structures and Research Fronts of “Cinemetrics”: Quantitative Film Studies

Weilin Li, Zhongrui Wang
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Abstract

The integration of quantitative methods in the study of film has gained prominence in the digital humanities field, which leverages advancements in technology and information sciences. The increasing adoption of these methods shows the evolution of the film field and the impact of digital humanities. However, only a small amount of study has attempted to comprehensively characterize the current research trends and hotspots in the context of quantitative cinema and database film research. This study utilizes the latest information visualization software, Citespace, to analyze research papers published from 2005 to 2022 retrieved from the Web of Science related to Cinemetrics, with a total of 308 papers being identified. The top 15 co-occurring keywords among these papers include “digital humanities”, “visual analytics”, “model”, “film”, “attention”, “classification”, “emotion”, “design”, “collection”, “topics”, “computational analysis”, “social network”, “distant reading” and “close reading”. These papers can be grouped into nine clusters: digital humanities, user group analytics survey, visual text analysis, quantitative analysis, visual narrative, digital visual effect, affective characterization, genealogy, and criteria.
“电影计量学”知识结构与研究前沿的可视化分析:电影定量研究
电影研究中定量方法的整合在数字人文学科领域得到了突出表现,这一领域利用了技术和信息科学的进步。这些方法被越来越多地采用,显示了电影领域的演变和数字人文学科的影响。然而,在电影量化和数据库电影研究的背景下,只有少量的研究试图全面描述当前的研究趋势和热点。本研究利用最新的资讯可视化软体Citespace,从Web of Science撷取2005年至2022年间发表的电影计量学相关研究论文,共找出308篇。这些论文中共出现的前15个关键词包括“数字人文”、“视觉分析”、“模型”、“电影”、“注意力”、“分类”、“情感”、“设计”、“收藏”、“主题”、“计算分析”、“社交网络”、“远读”和“细读”。这些论文可以分为九类:数字人文、用户群体分析调查、视觉文本分析、定量分析、视觉叙事、数字视觉效果、情感表征、谱系和标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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