Relative trust management model for twitter: An analytic hierarchy process approach

Choo Jiun Yean, Choo-Yee Ting, Ian K. T. Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Twitter mining serves many purposes; information mined from Twitter is used to perform various analyses, of which user trust modelling is among the major studies involved in this area. However, the volume and variety of extracted data from Twitter presents challenges to research works to interpret and acquire meaningful information that can be used to model Twitter user's trust. This paper models user trust for on Twitter with Analytic Hierarchy Process (AHP) using indegree, retweet, and mention data of users in the telecommunication field. The results are presented with multiple scales applied in pairwise comparison process to determine the consistency and magnitude of the results, drawing conclusions that AHP is a viable method to model user trust on Twitterspace.

Original languageEnglish
Title of host publicationInternational Conference on Frontiers of Communications, Networks and Applications 2014
PublisherInstitution of Engineering and Technology
ISBN (Print)9781785610721
DOIs
Publication statusPublished - 2014
EventInternational Conference on Frontiers of Communications, Networks and Applications 2014 - Kuala Lumpur, Malaysia
Duration: 3 Nov 20145 Nov 2014

Conference

ConferenceInternational Conference on Frontiers of Communications, Networks and Applications 2014
Abbreviated titleICFCNA 2014
Country/TerritoryMalaysia
CityKuala Lumpur
Period3/11/145/11/14

Keywords

  • AHP
  • Social networks
  • Twitter analytics
  • User trust model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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