A novel method detecting controversial interaction in the multiplex social comment network

HIGHLIGHTS

  • who: . and collaborators from the Fudan University, China have published the research: A novel method detecting controversial interaction in the multiplex social comment network, in the Journal: (JOURNAL)
  • what: The authors focus on Huawei-related news, which were released between 2019-03 and 2019-12. The authors propose the news-comment-user graph convolutional network (NCU-GCN) model for detecting controversial interactions. The authors propose a GCN-based model, NCU-GCN, for controversy detection on the interaction between two comments. Mathematically, the authors aim to learn a mapping T: eci,cj u2192 1 or 0 . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?