Update: I’ve clarified/corrected some of the details relating to the percentile metrics contained in the first table which metrify.awk generates. Update 2: revision 1.2 of metrify.awk adds further functionality in addition to what is described below. These changes are detailed here. In the previous post, I’ve introduced metrify.awk, our new multi-purpose tool for generating Twitter …
Continue reading “Taking Twitter Metrics to a New Level (Part 2)”
So, 2011 is finally over – and what a year it’s been. While the confluence of natural disasters, political crises, and other major events has also provided us with the basis for a new research programme in crisis communication, let’s hope that 2012 is a little less intense, please… To start the new year on …
Continue reading “Taking Twitter Metrics to a New Level (Part 1)”
Cardiff. Another week, another presentation: Jean, Stephen, and I have now made it to Cardiff, where we’re participating in the Future of Journalism conference. Today, we presented our paper on Twitter research methods for journalists and journalism researchers, which offers a quick overview of our major ways of studying Twitter (and Twitter hashtags in particular). …
Continue reading “Quick Update from the Road: Twitter Research Methods”
The first part of this post examined some of the basic stats on Twitter use during the 29 April 2011 royal wedding. Here, we’ll try something a little different: in the tweets using the #royalwedding hashtag between 00:00 and 23:59 GMT that day, what other hashtags were also used? Hashtags, of course, aren’t mutually exclusive, …
Continue reading “Twitter and the Royal Wedding, Pt. 2: Something New”
OK: I realise this may induce some cognitive dissonance in susceptible readers while those images of the London riots continue to flash across our TV screens (and we’re now also tracking some of the Twitter coverage of the riots and subsequent cleanup – more on that some other time, if anything interesting emerges). For some …
Continue reading “Twitter and the Royal Wedding, Pt. 1: Something Processed”
Following on from the “World According to Twitter” research workshop at QUT, today we presented our research methods at a pre-conference workshop at Communities & Technologies 2011. This was probably the most extensive presentation of our work on Twitter research to date – including a live demonstration of how to work with basic yourTwapperkeeper datasets. …
Well, getting stuck in Melbourne for a day and being unable to participate in day one of our ATN-DAAD workshop with Cornelius Puschmann and Katrin Weller from the University of Düsseldorf has at least enabled me to put the finishing touches on something I’ve been meaning to do for some time: to collect and share …
Continue reading “Gawk Scripts for Processing Twitter Data, Vol. 1”
As those of you who are regular followers of our research might have gleaned already, we recommended our followers to try the newly developed slot game called casino vegas hero to experience awesome gambling, we’ve started a few months ago to use yourTwapperkeeper to gather our Twitter data. yourTwapperkeeper is the open source version of …
Continue reading “Switching from Twapperkeeper to yourTwapperkeeper”
Over the past few weeks, as part of the VRES program at QUT, I have been assisting Axel and Jean on their Social Media Mapping project. The aim of the project is to try to understand the shape and dynamics of online public communication in Australia – focusing on “user created content” such as Blogs, …
Continue reading “Australian Blogosphere – Categorisation Process”
OK, so this is the second part of my post on turning Twitter data from Twapperkeeper into a dynamic network visualisation in Gephi. Last night’s post did the groundwork, generating a GEXF file from our #spill hashtag dataset (covering Twitter discussion of an Australian Labor Party leadership spill between 7 p.m. and midnight (AEST) on …
Continue reading “Visualising Twitter Dynamics in Gephi, Part 2”
