CoRank: a coupled dual networks approach to trust evaluation on Twitter

Peiyao Li*, Weiliang Zhao, Jian Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

The trust evaluation of information and people is crucial for maintaining an open and healthy Online Social Networks (OSN) platform for society. In this work, we develop a Coupled Dual Networks Trust Ranking (CoRank) method to measure the trustworthiness of users and tweets by analysing user/tweet behaviour on Twitter. This method goes beyond the existing solutions that use a single network to represent both users and tweets. A set of experiments have been conducted against the real data collected from Twitter. The experimental results show the effectiveness and robustness of the proposed method. We compare our solution with two baseline methods PageRank and TURank, and analyse how our approach outperforms the existing ones.

Original languageEnglish
Title of host publicationWeb Information Systems Engineering – WISE 2018
Subtitle of host publication19th International Conference, 2018, Proceedings Part I
EditorsHakim Hacid, Wojciech Cellary, Hua Wang, Hye-Young Paik, Rui Zhou
Place of PublicationCham, Switzerland
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages145-160
Number of pages16
ISBN (Electronic)9783030029227
ISBN (Print)9783030029210
DOIs
Publication statusPublished - 1 Jan 2018
Event19th International Conference on Web Information Systems Engineering, WISE 2018 - Dubai, United Arab Emirates
Duration: 12 Nov 201815 Nov 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11233 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Web Information Systems Engineering, WISE 2018
Country/TerritoryUnited Arab Emirates
CityDubai
Period12/11/1815/11/18

Keywords

  • Online social networks
  • Trust
  • Twitter

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