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现代物理学中各领域内部及跨领域的知识演进。

The evolution of knowledge within and across fields in modern physics.

作者信息

Sun Ye, Latora Vito

机构信息

School of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, UK.

Dipartimento di Fisica ed Astronomia, Università di Catania and INFN, 95123, Catania, Italy.

出版信息

Sci Rep. 2020 Jul 21;10(1):12097. doi: 10.1038/s41598-020-68774-w.

Abstract

The exchange of knowledge across different areas and disciplines plays a key role in the process of knowledge creation, and can stimulate innovation and the emergence of new fields. We develop here a quantitative framework to extract significant dependencies among scientific disciplines and turn them into a time-varying network whose nodes are the different fields, while the weighted links represent the flow of knowledge from one field to another at a given period of time. Drawing on a comprehensive data set on scientific production in modern physics and on the patterns of citations between articles published in the various fields in the last 30 years, we are then able to map, over time, how the ideas developed in a given field in a certain time period have influenced later discoveries in the same field or in other fields. The analysis of knowledge flows internal to each field displays a remarkable variety of temporal behaviours, with some fields of physics showing to be more self-referential than others. The temporal networks of knowledge exchanges across fields reveal cases of one field continuously absorbing knowledge from another field in the entire observed period, pairs of fields mutually influencing each other, but also cases of evolution from absorbing to mutual or even to back-nurture behaviors.

摘要

跨不同领域和学科的知识交流在知识创造过程中起着关键作用,并能激发创新和新领域的出现。我们在此开发了一个定量框架,以提取科学学科之间的重要依存关系,并将其转化为一个随时间变化的网络,其节点为不同领域,而加权链接表示在给定时间段内从一个领域到另一个领域的知识流动。利用关于现代物理学科学产出的综合数据集以及过去30年各领域发表文章之间的引用模式,我们随后能够随着时间推移,描绘出特定时间段内在某一领域发展的思想如何影响该领域或其他领域的后续发现。对每个领域内部知识流动的分析显示出显著多样的时间行为,一些物理领域比其他领域表现出更强的自我参照性。跨领域知识交流的时间网络揭示了在整个观察期内一个领域持续从另一个领域吸收知识的情况、相互影响的领域对,以及从吸收到相互甚至反向培育行为的演变情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f272/7374558/5cc230a5d6f1/41598_2020_68774_Fig1_HTML.jpg

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