User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms

In this dissertation,Twitter is selected as a representative of micro blogging social networks. Users can be linked with each other through the following and follower features in Twitter. This study tends to defined a new methodology to characterize users of micro-blogging social networks based on t...

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Main Author:	Dolatabadi, Hossein
Format:	Thesis
Published:	2012
Subjects:	HM Sociology
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id	my-mmu-ep.3640
record_format	uketd_dc
spelling	my-mmu-ep.36402012-11-23T07:34:59Z User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms 2012-05 Dolatabadi, Hossein HM Sociology In this dissertation,Twitter is selected as a representative of micro blogging social networks. Users can be linked with each other through the following and follower features in Twitter. This study tends to defined a new methodology to characterize users of micro-blogging social networks based on the contents of their tweets. Such study will verify if the follower and following features,provided by Twitter,can be used as accurate grouping of users with similar interests. Besides,the outcome of the proposed framework also can be applied for different purposes,such as target marketing on specific group of users with a set of topics in their tweets. 2012-05 Thesis http://shdl.mmu.edu.my/3640/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Information Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	HM Sociology
spellingShingle	HM Sociology Dolatabadi, Hossein User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms
description	In this dissertation,Twitter is selected as a representative of micro blogging social networks. Users can be linked with each other through the following and follower features in Twitter. This study tends to defined a new methodology to characterize users of micro-blogging social networks based on the contents of their tweets. Such study will verify if the follower and following features,provided by Twitter,can be used as accurate grouping of users with similar interests. Besides,the outcome of the proposed framework also can be applied for different purposes,such as target marketing on specific group of users with a set of topics in their tweets.
format	Thesis
qualification_level	Master's degree
author	Dolatabadi, Hossein
author_facet	Dolatabadi, Hossein
author_sort	Dolatabadi, Hossein
title	User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms
title_short	User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms
title_full	User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms
title_fullStr	User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms
title_full_unstemmed	User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms
title_sort	user clustering in micro-blogging social networks using topic modeling algorithms
granting_institution	Multimedia University
granting_department	Faculty of Information Technology
publishDate	2012
_version_	1747829532788785152

User Clustering in Micro-Blogging Social Networks Using Topic Modeling Algorithms

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