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The Rise and Rise of Interdisciplinary Research: Understanding the Interaction Dynamics of Three Major Fields —Physics, Mathematics and Computer Science

机译:跨学科研究的兴起:了解物理,数学和计算机科学这三个主要领域的相互作用动力学

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The distinction between sciences is becoming increasingly more artificial - an approach from one area can be easily applied to the other. More exciting research nowadays is happening perhaps at the interfaces of disciplines like Physics, Mathematics and Computer Science. How do these interfaces emerge and interact? For instance, is there a specific pattern in which these fields cite each other? In this article, we investigate a collection of more than 1.2 million papers from three different scientific disciplines - Physics, Mathematics, and Computer Science. We show how over a timescale the citation patterns from the core science fields (Physics, Mathematics) to the applied and fast-growing field of Computer Science have drastically increased. Further, we observe how certain subfields in these disciplines are shrinking while others are becoming tremendously popular. For instance, an intriguing observation is that citations from Mathematics to the subfield of machine learning in Computer Science in recent times are exponentially increasing.
机译:科学之间的区别变得越来越人为化-一种领域的方法可以很容易地应用于另一领域。如今,更令人兴奋的研究可能正在物理,数学和计算机科学等学科的接口上进行。这些界面如何出现和交互?例如,是否存在一种特定的模式,这些字段互相引用?在本文中,我们研究了来自物理,数学和计算机科学这三个不同学科的120万多篇论文的集合。我们展示了在一段时间内从核心科学领域(物理,数学)到计算机科学的应用领域以及快速增长的领域的引文模式是如何急剧增加的。此外,我们观察到这些学科中的某些子领域是如何缩小的,而另一些子领域却变得越来越流行。例如,一个有趣的观察结果是,最近从数学到计算机科学中机器学习子领域的引用呈指数增长。

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