Blog value, link value, and the Paris Index
She wants to quantify the depth and impact of those connections by looking at more than just the number of inbound links and the number of a particular blog's subscribers. He blog posting includes a table with nineteen kinds of information that could be taken into account, and she floats the possibility of an open-source algorithm to combine this information into a score. (She also includes a nice picture of the napkin from the Paris restaurant where she and her dinner companions sketched out their initial ideas.)
As always, Bob has done a great summarization of a very interesting topic. My only question is what about Attention.XML? If the end goal is discovering the quality content as opposed to the popular content, doesn't it get us at least part way to that end goal? Or do I not completely understand what Attention.XML is all about?
Thoughts?
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I would say that the Paris Index is more focused on the data (accumulate it and then traverse networks of data to build interesting applications from it) and Attention.XML is more focused on the user (e.g. help the user navigate among the growing mass of feed entries).
Ultimately, they both seem to be in the requirements gathering phase, and will have overlap and differences as they move along. It would be great if there was data that could be shared among applications coming from the two different perspectives—semantic web and all that—which will probably happen to some degree.
Bob
Excellent! Thanks for the follow-up :) I will definitely be keeping an eye on all of this and am glad you’ve taken interest in it as I can rest assured that your follow-up’s will be nicely paraphrased and filtered making it that much easier to know whats important and what can be ignored.
Thanks for the great post/info!