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Identifying representative textual sources in blog networks

Author(s)
Wade, Karen  
Greene, Derek  
Lee, Conrad  
Archambault, Daniel  
Cunningham, Pádraig  
Uri
http://hdl.handle.net/10197/2802
Date Issued
2011-02
Date Available
2011-02-24T10:26:21Z
Abstract
We apply methods from social network analysis and visualization to facilitate a study of the Irish blogosphere from a cultural studies perspective. We focus on solving the practical issues that arise when the goal is to perform textual analysis of the corpus produced by a network of bloggers. Previous studies into blogging networks have noted difficulties arising when trying to identify the extent and boundaries of these networks. As a response to calls for increasingly data-led approaches in media and cultural studies, we discuss a variety of social network analysis methods that can be used to identify which blogs can be seen as members of a posited "Irish blogging network". We identify hub blogs, communities of sites corresponding to different topics, and representative bloggers within these communities. Based on this study, we propose a set of analysis guidelines for researchers who wish to map out blogging networks.
Sponsorship
Science Foundation Ireland
Type of Material
Technical Report
Publisher
University College Dublin. School of Computer Science and Informatics
Series
UCD CSI Technical Reports
UCD-CSI-2011-01
Subjects

Social network analys...

Blogging

Textual analysis

Cultural studies

Subject – LCSH
Blogs--Ireland
Online social networks
Visualization
Content analysis (Communication)
Web versions
http://www.csi.ucd.ie/files/ucd-csi-2011-01.pdf
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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wade11blog.pdf

Size

1.26 MB

Format

Adobe PDF

Checksum (MD5)

a9e30711417a417be1f7c29e00cbf740

Owning collection
Computer Science and Informatics Technical Reports
Mapped collections
CASL Research Collection•
Clique Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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