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I have created a software which combines social network analysis and category-based content analysis. The program is called Discourse Network Analyzer. After applying categories to text portions, you can automatically extract two-mode networks or one-mode co-occurrence networks in several file formats. There are also some algorithms for longitudinal analysis.
The software can be downloaded from: http://www.philipleifeld.de
You may also be interested in a recent preprint where we demonstrate the approach and also employ density measures to analyze the data:
Leifeld, Philip and Sebastian Haunss (2010): A Comparison between Political Claims Analysis and Discourse Network Analysis: The Case of Software Patents in the European Union. Preprints of the Max Planck Institute for Research on Collective Goods 2010/21.
The preprint is available at: http://www.coll.mpg.de/pdf_dat/2010_21online.pdf
Von: "S. Courtney Walton" <[log in to unmask]>
An: [log in to unmask]
Datum: 19-05-2010 23:02
Betreff: [SOCNET] Content Analysis + Network Analysis
***** To join INSNA, visit http://www.insna.org ***** I'm looking for articles combining content analysis with network analysis as references for a study looking at social media and self-disclosure. Of particular interest will be the methods section and how the two are combined, as well as how the study addresses density.
Any recommendations? I'm happy to summarize and reshare :-)
S. Courtney Walton
[log in to unmask]
Department of Communication
4309 Social Sciences & Media Studies Bldg
University of California, Santa Barbara
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