Google Reader now makes recommendations and, more importantly, relays some data on how many posts occur on those unsubscribed to blogs per week (down to the tenths, btw.) And it’s that last part that gives me pause. I wonder if there is a way to analyze the blogs that I am currently subscribed to in terms of posts per week. Since I’m now in Prius mode and all about data driven decision making (for certain things) I started wondering if there is a pattern to my subscriptions. A very quick, unscientific, first impression look through my feeds shows that the vast majority of them return about 5 posts a week and that very, very few have more than 7-8.
And so here is the thing. On my “Google Reader Recommended List” were a couple of widely read edubloggers that I’m not subscribed to, and when I looked at the average number of posts per week data, I winced: 16.4 and 14.8 respectively. Those numbers absolutely preclude me from subscribing. It’s too much. I’m figuring that the best of those blogs will be filtered by other bloggers who I am subscribed to, and in practice, that’s precisely what happens. (There were links to both of those blogs that came through my reader this morning.)
Which begs the further question that Stephen Downes raised a while ago and that continues to niggle at my thinking: Should we approach all of this more toward reading blogs (and the people that write them) or reading ideas, no matter where they come from? It’s not totally an either or, I know. And there are nuances and complexities to both. But I’m starting to toy with the idea of taking most of the names out of my aggregator and moving toward tracking concepts and tags. What kind of effect do you think that would have? (I have some ideas that I’ll chuck into the comments.)
This all coming on the heels of closing out the first month in three years where I posted fewer than 10 times to my blog. Hmmm…
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