(Cross-posted from Gatewatching.)
In a previous post, I mentioned our work in developing a new methodology for mapping link and concept networks in the Australian blogosphere. For a first test run of this project, we archived posts in some 300-400 Australian political blogs between the start of November 2007 (the last month of the federal election campaign) and the end of January 2008, and we've now begun an exploratory analysis of this corpus of data.
As noted in our discussion paper for this project, the first step in this analysis is to distinguish between different functional components of blogs and blog pages (something that does not necessarily happen in comparable studies, by the way). So, what I'm focussing on here are the blog posts themselves, which are of course the major discursive element of any blog - as part of our approach, we've separated these posts from all other content on the blog (headers, footers, blogrolls, sidebars, comments sections, etc.). While I'll mainly discuss content analysis here, this is especially important also in the context of link analysis, of course, where blogroll, comment, and other links skew the data if we want to focus on examining the discursive network between blog posts.
So, building on this corpus of blog post data, here are some preliminary observations. What I've done here in the first place is to run the concept mapping software Leximancer over the content gathered from a selection of key Australian blogs, to both fine-tune that process and see if any discernible differences between individual blogs emerge. I'll present the results in two ways: one simply lists the key terms for each blog in order of frequency (giving a quick indication of what they're frequently talking about), and the second maps these key terms in relation to one another - terms which frequently co-occur in close proximity to one another in the text are located closer to one another than terms which don't, in other words. (I'll post these maps later, in the second part of this post.)