Identifying communicator roles in Twitter
Identifying communicator roles in Twitter
Twitter has redefined the way social activities can be coordinated; used for mobilizing people during natural disasters, studying health epidemics, and recently, as a communication platform during social and political change. As a large scale system, the volume of data transmitted per day presents Twitter users with a problem: how can valuable content be distilled from the back chatter, how can the providers of valuable information be promoted, and ultimately how can influential individuals be identified?
To tackle this, we have developed a model based upon the Twitter message exchange which enables us to analyze conversations around specific topics and identify key players in a conversation. A working implementation of the model helps categorize Twitter users by specific roles based on their dynamic communication behavior rather than an analysis of their static friendship network. This provides a method of identifying users who are potentially producers or distributers of valuable knowledge.
twitter, user classification, influence, web science
Tinati, Ramine
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Carr, Leslie
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Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Bentwood, Jonny
28daff74-ec47-42cb-a9be-bdadb5d776d3
16 April 2012
Tinati, Ramine
f74a0556-6a04-40c5-8bcf-6f5235dbf687
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Bentwood, Jonny
28daff74-ec47-42cb-a9be-bdadb5d776d3
Tinati, Ramine, Carr, Leslie, Hall, Wendy and Bentwood, Jonny
(2012)
Identifying communicator roles in Twitter.
Mining Social Network Dynamics (MSND 2012), , Lyon, France.
16 - 20 Apr 2012.
8 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Twitter has redefined the way social activities can be coordinated; used for mobilizing people during natural disasters, studying health epidemics, and recently, as a communication platform during social and political change. As a large scale system, the volume of data transmitted per day presents Twitter users with a problem: how can valuable content be distilled from the back chatter, how can the providers of valuable information be promoted, and ultimately how can influential individuals be identified?
To tackle this, we have developed a model based upon the Twitter message exchange which enables us to analyze conversations around specific topics and identify key players in a conversation. A working implementation of the model helps categorize Twitter users by specific roles based on their dynamic communication behavior rather than an analysis of their static friendship network. This provides a method of identifying users who are potentially producers or distributers of valuable knowledge.
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wk10p14-tinati.pdf
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More information
Submitted date: March 2012
Published date: 16 April 2012
Venue - Dates:
Mining Social Network Dynamics (MSND 2012), , Lyon, France, 2012-04-16 - 2012-04-20
Keywords:
twitter, user classification, influence, web science
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 335268
URI: http://eprints.soton.ac.uk/id/eprint/335268
PURE UUID: edab48b4-3f17-48e1-b4df-fd1cdd7672f5
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Date deposited: 10 Mar 2012 11:34
Last modified: 15 Mar 2024 02:33
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Contributors
Author:
Jonny Bentwood
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