时间和学科的分权概念:定量探索

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Gabriele Di Bona, Alberto Bracci, Nicola Perra, Vito Latora, Andrea Baronchelli
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引用次数: 1

摘要

分权是一个广泛存在于各个学科的概念,包括经济学、政治学和计算机科学,它以不同但相互关联的方式被使用。在这里,我们开发并公开发布了一个通用的管道来调查这个术语的学术历史,分析$425{,}$425,144学术出版物提到(去)中心化。我们发现,自20世纪50年代以来,关于这一主题的论文比例呈指数级增长。2021年,154位作者中有1位在文章标题或摘要中提到(去)中心化。利用语义信息和引文模式,对不同领域的论文进行聚类,并对它们之间的知识流动进行表征。我们的分析表明,该主题在不同领域独立出现,交叉学科污染较小。此外,我们展示了区块链如何在大约10年前成为最有影响力的领域,而治理在20世纪90年代之前占据主导地位。总之,我们的研究结果为一个关键但难以捉摸的概念的演变提供了定量评估,该概念在不同领域经历了兴衰周期。我们的管道提供了一个强大的工具来分析学术文献中任何学术术语的演变,提供对科学中集体发现和独立发现之间相互作用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The concept of decentralization through time and disciplines: a quantitative exploration
Abstract Decentralization is a pervasive concept found across disciplines, including Economics, Political Science, and Computer Science, where it is used in distinct yet interrelated ways. Here, we develop and publicly release a general pipeline to investigate the scholarly history of the term, analysing $425{,}144$ 425 , 144 academic publications that refer to (de)centralization . We find that the fraction of papers on the topic has been exponentially increasing since the 1950s. In 2021, 1 author in 154 mentioned (de)centralization in the title or abstract of an article. Using both semantic information and citation patterns, we cluster papers in fields and characterize the knowledge flows between them. Our analysis reveals that the topic has independently emerged in the different fields, with small cross-disciplinary contamination. Moreover, we show how Blockchain has become the most influential field about 10 years ago, while Governance dominated before the 1990s. In summary, our findings provide a quantitative assessment of the evolution of a key yet elusive concept, which has undergone cycles of rise and fall within different fields. Our pipeline offers a powerful tool to analyze the evolution of any scholarly term in the academic literature, providing insights into the interplay between collective and independent discoveries in science.
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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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