Trend Analysis of Research Direction in Computer Science Based on Microsoft Academic Graph

Hongwu Qin, Juntao Zeng, Xiuqin Ma
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Abstract

The field of computer science and its derived 34 research directions have developed dynamically and rapidly in recent decades, but the development trend and potential correlation of each research directions have not been well studied. Based on the Microsoft Academic Graph dataset, this paper obtained 13,126,576 pieces of academic data related to the computer science field from 1995 to 2019, and proposed an algorithm to identify the research directions of the paper. Finally, we obtained the number of papers in each research direction under the computer science over the years through bibliometrics and conducted trend analysis and correlation analysis.
基于微软学术图的计算机科学研究方向趋势分析
近几十年来,计算机科学领域及其衍生的34个研究方向得到了动态、快速的发展,但各个研究方向的发展趋势和潜在的相关性还没有得到很好的研究。本文基于Microsoft Academic Graph数据集,获取1995 - 2019年计算机科学领域相关学术数据13,126,576条,并提出了一种识别本文研究方向的算法。最后,我们通过文献计量学的方法获得了计算机科学各研究方向历年的论文数量,并进行趋势分析和相关分析。
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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