Published on Sunday, January 4, 2009 .
I’ve published the first dump of survey and “blog metrics” data from the blogger questionnaire as a spreadsheet on Google Docs. Many, many thanks to all of you who volunteered your information.
Please feel free to use this as you see fit for your own projects. I’ve anonymised this data (just because it’s best practice, not because I think any blogger would be mortally offended by having the world know what inspires them to blog!)
Continue reading ‘Blogger typology: quantitative analysis step 1′
Published on Wednesday, December 17, 2008 .
On November 10th, Stephen Davies collected together a list of “UK PR people on Twitter” According to PostRank, this (and his earlier post, “UK Journalists on Twitter“) are the most popular posts on his blog.
Then a couple of days later, Stephen Waddington pushed that list through TwitterGrader to come up with his list of “Top 50 UK PR people by Twitter influence“
A couple of weeks ago, I was looking for a seed list with which I could test our “whitelist” and “canonify exception” rules on Rufus (the network analysis tool that Porter Novelli has been working on for the past six months.) This isn’t the right place to go into it, but to put it simply, the whitelist restricts the search to domains that are on the list (like a guest list), and the canonify exception list stops Rufus from chopping the subdomains or directories off the list (without this, a site like sethgodin.typepad.com would just show up as typepad.com or en.wikipedia.org/wiki/Social_network_analysis would show up as wikipedia.org. Rufus, by the way, is named after the George Carlin character in Bill & Ted’s Excellent Adventure.
My colleague, Tim Hoang used to work with Stephen W., so he sent him the image. Wadds then posted “the map on his blog“. My flickr page has never had so much activity.
Here’s the original graph:
Lots of people started drawing conclusions about the nature of PR, or the nature of Twitter from the graphs. There was lots of interesting speculation. Some people thought that this demonstrated how introverted the twitter crowd is. Others thought that it showed how introverted the PR/Social media crowd is. Others seemed to think that it didn’t matter.
Continue reading ‘Some Twitter Social Network Analysis’
Published on Monday, December 8, 2008 .
Most of the time we use UCINET and NetDraw to analyze the data from Rufus. Rufus exports crawl data to a Pajek .net file by default. But we can also export GraphML and read the data into other tools that handle that format. This is a test we ran of this feature using yEd
It’s not working beautifully yet, but it is working.
