Discussion of “Cocitation and Coauthorship Networks of Statisticians”

Haolei Weng, Yang Feng

Research output: Contribution to journalComment/debatepeer-review


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.

Original languageEnglish (US)
Pages (from-to)486-490
Number of pages5
JournalJournal of Business and Economic Statistics
Issue number2
StatePublished - 2022


  • Covariates
  • Spectral clustering
  • Weighted network

ASJC Scopus subject areas

  • Statistics and Probability
  • Social Sciences (miscellaneous)
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty


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