links for 2008-05-13
May 13, 2008 — Brendan-
Yes, yes, yes, yes, yes!
A week ago I published the results of tag analysis of the blogs in the PR Friendly Index. I put together a social network diagram which showed how the blogs in the index related to the tags they used. It made for some interesting results - so go and read that post now if you’re interested!
I said I’d be publishing some more analysis, so here we have it - the frequency with which tags are used. Click any tag to go to Technorati and see who else uses it:
(Note these are all in lower case quite simply because they look pretty that way. In the social media network I put them in upper case to distinguish them from the blog addresses. I hope this doesn’t cause confusion - it’s aesthetics over informatics, I’m afraid. Note also that this was after some data scrubbing to standardise the ‘onomies’ a little, and that two of the blogs I mentioned in the previous post have since accounted for anomalies in their results.)
We would expect PR to be at the top. I guess we would expect marketing and media to be there too. But I am (pleasantly) surprised that social media is a healthy second place, and blogging is just below that. This is reflected in the social network diagram, in that PR and social media are the two largest and most central nodes (that is, the greatest number of blogs link to them).
I suppose this makes sense given that PR bloggers would tend to be, by definition, more aware of social media and blogging. But I do wonder what this study would have revealed, say, a year ago? Two years? And looking ahead, how will this change? A sneaking part of me wonders whether blogging will decline in popularity and social networks will rise. Perhaps Facebook will usurp it?
It looks like we have a long tail here. Let’s use Many Eyes again to show this - and you can either go to Many Eyes to see the original chart, or just click the image below:
As with the social network data, the data for this is publicly available on Many Eyes. Feel free to take this and do whatever you like with it!
Finally, I would like to ask what exactly PRfung is all about? I was surprised when it first emerged, but even more surprised to see it emerge four times. I mean, really? What is PRfung? We need to know. Or at least, I need to know. Quite frankly I’m afraid to type it into Google…
![]() |
| source » |
While on holiday, sipping a Piña Colada, I had a sudden thought (well, it happened to Newton, right?)
I’ve been doing a lot of thinking about keywords recently, and I suddenly wondered what the keywords in the PR Friendly Index would look like. That is, take them all, and plot them in some way.
What would this tell us? Well, it would be nice to know what people are talking about. It would be interesting to see what the top keywords are. And maybe I could plot this to show how close blogs are to each other. It could be that some blogs talk about pretty much the same things, while I would imagine there are some ‘special’ blogs on the periphery.
Furthermore, such a study would get around the oft-quoted criticisms of the PR Friendly Index. It would be non-hierarchical, so I wouldn’t be ‘scoring’ blogs as if this were a race. It would also be less of a pain in the arse to compile every month, especially if new blogs came in.
How best to show it though? I went through the options, and it looked like a social network diagram was the ideal solution. Except that, rather than show links between people, I’d be showing links between blogs and their keywords and, through inference, the closeness of blogs to each other.
In other words, I’d be showing the links between what people are saying rather than the physical links that exist between them.
So, that’s what I’ve done. I tried to use keyword density analysis but couldn’t find a reliable way to gather the data. So, instead, I’ve used tags according to the Technorati database which I can do through a nice Technorati API call. To my mind this isn’t as powerful in that it shows what people say they’re saying, rather than what they’re actually saying. But, on the other hand it’s a neater way to do this.
Here are the results, below.
I know what you’re thinking: it’s a mess.
Well, click the image or go to the Many Eyes visualisation to use it properly. You can zoom in and out, move around, search within it, and click nodes to see who links to what.
So, if you click a tag (shown in caps because I couldn’t find any other way to distinguish between tags and blogs), you can see which blogs relate to that tag. And if you click a blog, you can see which tags it uses.
If it helps, I’ve provided a few examples below, showing the centrality of PR and social media as tags…
… and here’s one showing which tags I use, that is, by clicking my blog node which highlights the tags related to me:
What does this tell us?
Well, given that the largest, most central nodes are the most popular, it’s pretty easy to see that PR and social media are right in there. This is to be expected, and even if it confirms expectations, it’s still something we’ve learned.
What’s interesting is that we can see which blogs are linked in the middle too. One could say these are the blogs which really talk - or at least tag what they’re saying - about topics that are at the heart of the PR blogosphere. You can see lots of blogs clustered around PR and social media. Just take a look at the other large nodes to see what they represent. I can tell you now that the other three most popular tags are blogging, marketing and media.
Also, you can see that some blogs really aren’t supposed to be here! They’re the satellites hovering around the edges - Josh Morgan’s Don’t eat the shrimp, Spinwatch and Online Marketing Blog. They don’t share any tags with any other blogs.
I’ll be offering some more analysis over the next few posts. I’ll show which are the most popular tags, offer a nice funky tag cloud, maybe some other charts (I expect there’s a long tail knocking about here somewhere). It would also be nice to see whether there are any identical blogs - that is, those whose top five tags are the same - or whether there’s a way of ‘typifying’ them.
Meanwhile the data is also publicly available on Many Eyes so I would love it if someone else could come up with cool analyses or insights, maybe with different tools too (real-time with 3D animated Flash rendering would be nice). Just go over to the Many Eyes site and take a look.
If anyone else wants to add their blogs, let me know. If your tags seem to fit this, you’re in. It should be much easier to recompile the image than recompile the PR Friendly Index. And it would be nice to expand this a bit.
Finally, I haven’t thought of a name for this… thing yet. It’s a PR Friendly Thing, but what manner of thing? A blogosphere? Tagosphere? Circle-jerk? Perhaps I should offer this as a competition. Or maybe I’ll just call it the PR Friendly Thing.
For disclosure, a few notes on the methodology here…
As I said, I originally wanted to look at keywords, as this could give more insight into what people are really talking about rather than what they think they’re talking about! But it proved problematical. I tried using importHTML functions in Google Docs, namely to pull data from the webconfs.com tool, but it just didn’t work right.
So, I decided to use the Technorati tags calls with the importXML function in Google instead. You can use the blogposttags call (http://api.technorati.com/blogposttags?key=[your_key]&url=[target_url]) which returns the most popular tags, in order. I decided to pull in the five most popular tags, simply because I felt that was a manageable number.
Of course, this then needed a bit of scrubbing. Some of you tagged topics as ‘Public Relations’, others as ‘PR’, so I standardised these to ‘PR’. Some of you, however, used both!
Then there were variants. ‘public-relations’ or even ‘public_relations’ popped up a couple of times. So I would then have to take the next tag (or two or even three) down to make this a full set of five. ‘Social Media’, ‘socialmedia’ and ‘social-media’ was another frequent candidate for standardisation. You get the picture. I’ve had to standardise your taxonomies for you!
At first I was tempted to remove the ‘ego-tags’, that is, where people have tagged themselves. Then I decided against it. If these people want to tag themselves, then so be it. We can now all point and laugh at them for doing so.
There were also some blogs that just didn’t want to play.