Re-ranking Real-time Web Tweets to Find Reliable and Influential Twitterers

Simple item page
dc.contributor.advisorHuang, Xiangji
dc.creatorAl Sinan, Ahmed Husain
dc.date.accessioned2014-07-15T20:08:08Z
dc.date.available2014-07-15T20:08:08Z
dc.date.copyright2014-02-28
dc.date.issued2014-07-09
dc.date.updated2014-07-09T16:50:01Z
dc.degree.disciplineInformation Systems and Technology
dc.degree.levelMaster's
dc.degree.nameMA - Master of Arts
dc.description.abstractTwitter is a powerful social media tool to share information on different topics around the world. Following different users/accounts is the most effective way to get information propagated in Twitter. Due to Twitter's limited searching and lack of navigation support, searching Twitter is not easy and requires effort to find reliable information. This thesis proposed a new methodology to rank tweets based on their authority with the goal of aiding users identifying influential Twitterers. This methodology, HIRKM rank, is influenced by PageRank, Alexa Rank, original tweet or a retweet and the use of hash tags to determine the authorisation of each tweet. This method is applied to rank TREC 2011 microblogging dataset which contains over 16 million tweets based on 50 predefined topics. The results are a list of tweets presented in a descending order based on their authorities which are relevant to the users search queries and will be evaluated using TREC’s official golden standard for the microblogging dataset.en_US
dc.identifier.urihttp://hdl.handle.net/10315/27650
dc.language.isoenen_US
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectInformation technologyen_US
dc.subject.keywordsDataen_US
dc.subject.keywordsInformation technologyen_US
dc.subject.keywordsInformation retrievalen_US
dc.subject.keywordsMicro-bloggingen_US
dc.subject.keywordsTwitteren_US
dc.subject.keywordsSocial mediaen_US
dc.subject.keywordsInformationen_US
dc.titleRe-ranking Real-time Web Tweets to Find Reliable and Influential Twitterersen_US
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Alsinan_Ahmed_H_2014_Masters.pdf
Size:
1.9 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.83 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.38 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Information Systems and Technology

All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.