Discussion of “Cocitation and Coauthorship Networks of Statisticians”

IF 2.9 2区 数学 Q1 ECONOMICS Journal of Business & Economic Statistics Pub Date : 2022-04-03 DOI:10.1080/07350015.2022.2037432
Haolei Weng, Yang Feng
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引用次数: 1

Abstract

Abstract We congratulate the authors for their stimulating and thought-provoking work on network data analysis. In the article, the authors not only introduce a new large-scale and high-quality publication dataset that will surely become an important benchmark for further network research, but also present novel statistical methods and modeling which lead to very interesting findings about the statistics community. There is much material for thought and exploration. In this discussion, we will focus on the cocitation networks, and discuss a few points for the coauthorship networks toward the end.
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关于“统计学家合著网络”的探讨
我们祝贺作者在网络数据分析方面所做的启发性和发人深省的工作。在文章中,作者不仅介绍了一个新的大规模和高质量的出版物数据集,这必将成为进一步网络研究的重要基准,而且还提出了新的统计方法和建模,这导致了统计界非常有趣的发现。有很多材料值得思考和探索。在这次讨论中,我们将集中讨论共同作者网络,并在最后讨论共同作者网络的几个要点。
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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来源期刊
Journal of Business & Economic Statistics
Journal of Business & Economic Statistics 数学-统计学与概率论
CiteScore
5.00
自引率
6.70%
发文量
98
审稿时长
>12 weeks
期刊介绍: The Journal of Business and Economic Statistics (JBES) publishes a range of articles, primarily applied statistical analyses of microeconomic, macroeconomic, forecasting, business, and finance related topics. More general papers in statistics, econometrics, computation, simulation, or graphics are also appropriate if they are immediately applicable to the journal''s general topics of interest. Articles published in JBES contain significant results, high-quality methodological content, excellent exposition, and usually include a substantive empirical application.
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