Studying asymmetric structure in directed networks by overlapping and non-overlapping models

HIGHLIGHTS

  • who: Huan Qing from the School of Mathematics, China University of Mining and Technology, Xuzhou, China have published the research: Studying Asymmetric Structure in Directed Networks by Overlapping and Non-Overlapping Models, in the Journal: Entropy 2022, 24, 1216. of /2022/
  • what: To study the asymmetric structure for such directed networks the authors propose a flexible and identifiable Overlapping and Non-overlapping model (ONM). The authors show that the methods enjoy consistent estimations under mild conditions. The aim of the proposed algorithm is to estimate the row membership matrix u03a0r and the column membership matrix . . .

     

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