The Affective Science Network: A Fieldwide Map of over 1 Million Citations.

IF 2.1 Q2 PSYCHOLOGY
Affective science Pub Date : 2025-02-01 eCollection Date: 2025-06-01 DOI:10.1007/s42761-024-00292-8
Alessia Iancarelli, Nicholas R Rypkema, Maureen Ritchey, Ajay B Satpute
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引用次数: 0

Abstract

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.

情感科学网络:超过100万次引用的全领域地图。
情感科学的研究包括10万多篇文章,其中绝大多数是在过去20年里发表的。这一领域的规模和快速增长给21世纪的科学家带来了独特的挑战,包括如何发展学术的广度和深度,遏制竖井,促进综合和跨学科框架,以及全面代表和监测该领域。在这里,我们通过使用引文网络分析(CNA)紧凑地绘制出这个巨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)关于情感的开创性作品以来,我们生成了超过10万份出版物和超过100万次引用的引文矩阵。使用图论度量和标题和摘要的内容分析,我们确定并描述了69个研究团体的内容,他们最具影响力的文章,以及他们彼此之间的相互联系。我们进一步确定了共享相似内容但没有强大的基于引用的联系的社区之间潜在的“错过的联系”。在这样做的过程中,我们建立了情感科学文献中相当一部分的第一个低维表示或领域范围图。该领域的全景视图为情感和非情感科学家提供了快速调查该领域数十个主要研究社区和主题的手段,指导学术发展,并确定发展综合科学的差距和联系。
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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CiteScore
4.40
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