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Discussion of “Cocitation and Coauthorship Networks of Statisticians”

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  • Haolei Weng
  • Yang Feng

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.

Suggested Citation

  • Haolei Weng & Yang Feng, 2022. "Discussion of “Cocitation and Coauthorship Networks of Statisticians”," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 486-490, April.
  • Handle: RePEc:taf:jnlbes:v:40:y:2022:i:2:p:486-490
    DOI: 10.1080/07350015.2022.2037432
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