Iancarelli Alessia, Rypkema Nicholas R, Ritchey Maureen, Satpute Ajay B
Department of Psychology, Northeastern University, 360 Huntington Ave, 125 NI, Boston, MA 02115 USA.
Applied Ocean Physics & Engineering, Woods Hole Oceanographic Institution, Woods Hole Rd, Woods Hole, MA 02543 USA.
Affect Sci. 2025 Feb 1;6(2):321-339. doi: 10.1007/s42761-024-00292-8. eCollection 2025 Jun.
Research in affective science includes over one hundred thousand articles, the vast majority of which have been published in only the past two decades. The size and rapid growth of this field have led to unique challenges for the twenty-first-century scientist including how to develop both breadth and depth of scholarship, curb siloing and promote integrative and interdisciplinary framework, and represent and monitor the field in its entirety. Here, we help address these issues by compactly mapping out this enormous field using citation network analysis (CNA). We generated a citation matrix of over 100,000 publications and over 1 million citations since the seminal works on emotion by Charles Darwin (1872) and William James (1884). Using graph theory metric and content analysis of titles and abstracts, we identified and characterized the contents of 69 research communities, their most influential articles, and their interconnectedness with each other. We further identified potential "missed connections" between communities that share similar content but do not have strong citation-based connections. In doing so, we establish the first, low-dimensional representation, or field-wide map, of a substantial portion of the affective sciences literature. This panoramic view of the field provides affective and non-affective scientists alike with the means to rapidly survey dozens of major research communities and topics in the field, guide scholarship development, and identify gaps and connections for developing an integrative science.
情感科学领域的研究文献超过十万篇,其中绝大多数是在过去二十年才发表的。这一领域的规模和快速发展给21世纪的科学家带来了独特的挑战,包括如何在学术研究中兼顾广度和深度、避免研究孤立并促进综合与跨学科框架的形成,以及全面展现和监测该领域。在此,我们通过使用引文网络分析(CNA)简洁地描绘这个庞大的领域,来帮助解决这些问题。自查尔斯·达尔文(1872年)和威廉·詹姆斯(1884年)关于情感的开创性著作以来,我们生成了一个包含超过10万篇出版物和100多万条引文的引文矩阵。通过运用图论指标以及对标题和摘要的内容分析,我们识别并描述了69个研究群体的内容、它们最具影响力的文章以及它们之间的相互联系。我们还进一步识别了内容相似但基于引文的联系不强的群体之间潜在的“遗漏联系”。通过这样做,我们建立了情感科学文献中很大一部分的首个低维表示,即全领域地图。该领域的全景图为情感科学领域内外的科学家提供了一种手段,使他们能够快速审视该领域的数十个主要研究群体和主题、指导学术发展,并识别发展综合科学的差距和联系。