情感科学网络:超过100万个引文的现场地图
Alessia Iancarelli1, Nicholas R Rypkema2, Maureen Ritchey3
1Department of Psychology, Northeastern University, 360 Huntington Ave, 125 NI, Boston, MA 02115 USA.
Affective science
|July 3, 2025
概括
情感科学研究正在迅速扩大,为科学家创造了挑战. 引用网络分析绘制了这个庞大的领域,揭示了69个研究社区及其联系,以促进整合性奖学金.
科学领域:
- 情感科学是一种情感科学.
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 社会科学 社会科学 社会科学
背景情况:
- 情感科学领域经历了指数级增长,有超过10万份出版物,主要是在过去二十年.
- 这种快速扩张在保持学术广度,深度和跨学科融合方面带来了挑战.
- 由于整个领域的规模和复杂性,对整个领域的有效监测和代表是很困难的.
研究的目的:
- 通过创建该领域的全面地图来解决情感科学的挑战.
- 利用引用网络分析 (CNA) 来可视化情感科学研究的结构和相互联系.
- 识别研究社区,有影响力的文章和潜在的跨学科联系.
主要方法:
- 使用超过10万份出版物和100万份引文构建了一个引文矩阵,可以追溯到达尔文 (1872) 和詹姆斯 (1884).
- 采用了图形理论指标和标题和摘要的内容分析.
- 引用网络分析 (CNA) 用于识别和描述研究社区.
主要成果:
- 在情感科学中,有69个不同的研究社区被确定和描述.
- 绘制了这些社区及其最有影响力的文章之间的相互联系.
- 突出了具有相似内容但引用链接较弱的社区之间的潜在"错过的连接".
结论:
- 这项研究提供了第一个低维的,整个领域的地图,在情感科学文献的很大一部分.
- 这张地图作为科学家快速调查研究社区和主题的工具.
- 这些发现促进了奖学金的发展,确定了研究差距,并促进了整合性的科学方法.
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