Understanding the structure, characteristics, and future of collective intelligence using local and global bibliometric analyses
Understanding the structure, characteristics, and future of collective intelligence using local and global bibliometric analyses
复制标题
使用本地和全球文献计量分析了解集体智慧的结构、特征和未来
DOI：
10.1016/j.techfore.2022.121561
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发表时间：
2022
影响因子：
12
通讯作者：
Ismail El Moudni
中科院分区：
文献类型：
--
作者：
J. Calof;Klaus Solberg Søilen;R. Klavans;Bisan Abdulkader;Ismail El Moudni
“集体智慧”是一个流行的研究领域已经有十多年了。我们采用两种不同的分析方法（本地和全球文献计量分析）来描述这些文献是如何组织的，以及它是如何演变的。一种本地方法侧重于Scopus数据库中索引的3，138篇文章，其中“集体智慧”在标题，摘要或关键字中。全球方法使用数据库中的所有（12.8亿）引文将所有Scopus文件重新分类为研究社区，并继续识别哪些研究社区包含3，138篇集体智能（CI）文章。这两种方法提供了显着不同的观点，CI是如何构建的，该领域的领导者是谁，以及它是如何发展的。这两种观点的综合为那些希望为集体智慧领域做出贡献的人提供了想法。我们的研究结果支持Kuhnian的研究共同体作为一个有用的概念在文献计量分析。
“Collective Intelligence” has been a popular area of research for more than a decade. We apply two different analytical approaches (local and global bibliometric analysis) to describe how this literature is organized and how it has evolved. A local approach focuses on the 3,138 articles indexed in the Scopus database where ‘collective intelligence’ is in the title, abstract, or keyword. A global approach reclassifies all of the Scopus documents into research communities using all (1.28 billion) citations in the database and proceeds to identify which research communities are populated by the 3,138 Collective Intelligence (CI) articles. These two approaches provide significantly different perspectives on how CI is structured, who the leaders of the field are, and how it is evolving. A synthesis of these two perspectives provides ideas for those who wish to contribute to the collective intelligence field. Our findings support the Kuhnian idea of research communities as a useful concept in bibliometric analysis.