2,624
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Talking of Many Things: Using Topical Networks to Study Discussions in Social Media

Pages 204-218 | Received 05 Jun 2012, Accepted 02 Nov 2012, Published online: 06 Dec 2012
 

Abstract

This article outlines a method for studying online activity using both qualitative and quantitative methods: topical network analysis. A topical network refers to “the collection of sites commenting on a particular event or issue, and the links between them” (Highfield, Kirchhoff, & Nicolai, Citation2011, p. 341). The approach is a complement for the analysis of large data sets enabling the examination and comparison of different discussions as a means of improving our understanding of the uses of social media and other forms of online communication. Developed for an analysis of political blogging, the method also has wider applications for other social media websites such as Twitter.

Acknowledgments

The initial research informing this article comes from my doctoral research; I thank Axel Bruns and Jason Sternberg for their supervision of this project, and Lars Kirchhoff and Thomas Nicolai for collecting the blog data discussed here. I also thank the anonymous reviewers for their comments and suggestions for this article.

Additional information

Notes on contributors

Tim Highfield

Tim Highfield is a Research Fellow with the ARC Centre of Excellence in Creative Industries and Innovation (CCI), Queensland University of Technology, and a sessional academic with Curtin University. He was awarded his PhD from Queensland University of Technology in 2011. His doctoral research investigated political blogging in Australia and France. Currently his research focuses on social media use around politics, sport, and popular culture.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 416.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.