Identifying user roles in Twitter
Identifying user roles in Twitter
Social Networks such as Twitter offer a platform for individuals to create and share messages, establish ‘friendships’ between each other, and even become part of specific communities. Twitter has enabled a range of important social activity to succeed, including identifying public health issues and more recently, as a platform for social and political change. However, in spite of this, the volumes of messages that are transmitted per day make identifying valuable content from the back chatter and ultimately, influential individuals from spam, difficult.
To tackle this, a classification model which utilizes the features offered in Twitter has been developed which classifies users based on their interaction behavior. This model helps identify Twitter users into specific categories based on their own specific behavior. This provides a method of identifying users who are potentially producers or distributers of valuable knowledge.
Tinati, Ramine
f74a0556-6a04-40c5-8bcf-6f5235dbf687
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
16 March 2012
Tinati, Ramine
f74a0556-6a04-40c5-8bcf-6f5235dbf687
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Tinati, Ramine and Carr, Leslie
(2012)
Identifying user roles in Twitter.
Information Communication Technology in Development 2012, , Atlanta, United States.
Record type:
Conference or Workshop Item
(Other)
Abstract
Social Networks such as Twitter offer a platform for individuals to create and share messages, establish ‘friendships’ between each other, and even become part of specific communities. Twitter has enabled a range of important social activity to succeed, including identifying public health issues and more recently, as a platform for social and political change. However, in spite of this, the volumes of messages that are transmitted per day make identifying valuable content from the back chatter and ultimately, influential individuals from spam, difficult.
To tackle this, a classification model which utilizes the features offered in Twitter has been developed which classifies users based on their interaction behavior. This model helps identify Twitter users into specific categories based on their own specific behavior. This provides a method of identifying users who are potentially producers or distributers of valuable knowledge.
Text
ICTD2012-Ramine Tinati-Final Camera Ready Abstract.pdf
- Accepted Manuscript
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Published date: 16 March 2012
Venue - Dates:
Information Communication Technology in Development 2012, , Atlanta, United States, 2012-03-16
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 344870
URI: http://eprints.soton.ac.uk/id/eprint/344870
PURE UUID: fe8e08a2-4fe7-4598-a8ac-ec611917c9eb
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Date deposited: 05 Nov 2012 09:03
Last modified: 15 Mar 2024 02:33
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