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What makes the city pulse

Li, Yang (2014) What makes the city pulse. Master of Science thesis, Dublin City University.

Abstract
The topics of this thesis are event detection and social network analysis in social media. Our work centres on Geo-tagged User Generated Content (UGC) in Twitter, such as Twitter data generated from the metropolitan area of Dublin Ireland over a one month period of time. In this thesis we address the problem of how to detect small scale unexpected events using UGC both in real-time and retrospectively. We proposed a language-text joint modeling algorithm to cope with the large volume and unstructured nature of UGC. We also demonstrate our discovery of interesting correlations between a Twitter user’s social communities and their mobility patterns. Finally a set of features are proposed for carrying out Twitter user’s account type classification, for the purpose of irrelevant contents filtering. This thesis includes several experimental evaluations using real data from users and shows the performance of our algorithms in event detection and provide evidence for our discoveries.
Metadata
Item Type:Thesis (Master of Science)
Date of Award:March 2014
Refereed:No
Supervisor(s):Smeaton, Alan F.
Uncontrolled Keywords:Social Media; Events
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Science Foundation Ireland, IBM Ireland
ID Code:19733
Deposited On:09 Apr 2014 12:33 by Alan Smeaton . Last Modified 19 Jul 2018 15:03
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