Let’s CoRank: trust of users and tweets on social networks

Peiyao Li*, Weiliang Zhao, Jian Yang, Quan Z. Sheng, Jia Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
4 Downloads (Pure)


Twitter, as one of the largest Online Social Network (OSN) platforms, is a popular media for online social communication and information dissemination. The trustworthy evaluation of information and people becomes crucial for maintaining an open and healthy OSN for our society. In this work, we develop a Coupled Dual Networks Trust Ranking (CoRank) method to evaluate the trustworthiness of users and tweets by analysing user/tweet behaviours on Twitter. We propose a model to capture the complex characteristics and relations of both users and tweets and calculate their trust values. Our approach goes beyond the existing solutions that use a single network to link both users and tweets. A set of experiments have been conducted against the real data collected from Twitter. The experimental results show the effectiveness, robustness, and time complexity of the proposed method. We also compare our solution with three baseline methods PageRank, TURank, and Weighted PageRank, to show how our approach outperforms the existing ones.

Original languageEnglish
Pages (from-to)2877-2901
Number of pages25
JournalWorld Wide Web
Issue number5
Early online date14 Jul 2020
Publication statusPublished - Sep 2020

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Online social networks
  • Trust
  • Twitter


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