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 language | English |
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Title of host publication | International Conference on Frontiers of Communications, Networks and Applications 2014 |
Publisher | Institution of Engineering and Technology |
ISBN (Print) | 9781785610721 |
DOIs | |
Publication status | Published - 2014 |
Event | International Conference on Frontiers of Communications, Networks and Applications 2014 - Kuala Lumpur, Malaysia Duration: 3 Nov 2014 → 5 Nov 2014 |
Conference
Conference | International Conference on Frontiers of Communications, Networks and Applications 2014 |
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Abbreviated title | ICFCNA 2014 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 3/11/14 → 5/11/14 |
Keywords
- AHP
- Social networks
- Twitter analytics
- User trust model
ASJC Scopus subject areas
- Electrical and Electronic Engineering