del.icio.us experiments redux

October 6th, 2004  |  Published in web

About a month ago, I posted about some del.icio.us experiments I’d been doing, and published the python wrapper I’d been using. Of course, the post itself was another del.icio.us experiment.


Guessing that the post would be perfect linkfodder, I was curious to see how the del.icio.us community would take the bait. It went down pretty well. To date, it’s been posted by 153 people.

I knocked up a bit of code to list the tags that the item got, something like this:

tags = {}
for post in d.Href("https://www.hackdiary.com/archives/000060.html"):
for tag in post.tags:
tags[tag.name] = tags.get(tag.name,0) + 1

And what was the emergent categorisation of my piece? It was a pretty broad list, demonstrating several different styles of tagging strategy:

  • 97 times python
  • 64 times del.icio.us
  • 37 times delicious
  • 22 times programming
  • 10 times hacks
  • 7 times tools
  • 6 times web
  • 4 times software
  • 4 times dev
  • 3 times rdf
  • 3 times bookmarks
  • 2 times unread
  • 2 times social
  • 2 times semweb
  • 2 times library
  • 2 times hacking
  • 2 times hack
  • 2 times development
  • 2 times del
  • 2 times api
  • ***
  • *checkout
  • *touch
  • blog
  • blogentry
  • blognew
  • bookmark
  • booty
  • checkout
  • clipz
  • code
  • collaboration
  • collaborativefiltering
  • computer
  • cool
  • del.icio.us social
  • delic
  • delicios
  • devel
  • extensions
  • geek_stuff
  • generalreference
  • greatminds
  • icio.us
  • images
  • metabookmark
  • metadelicious
  • namespaces
  • newnet
  • news/articles
  • read
  • readlater
  • rss
  • ruby
  • semanticweb
  • socialsoftware
  • todo
  • viapopular
  • webdev
  • webservices/delicious
  • webtech
  • xml
  • yummy
  • z:active
  • z:del.icio.us_experiments

I was also curious about what the pattern of linking would be over time. Mostly I expected the standard power law curve, reflecting an initial flurry of attention followed by a swift drop-off. I put together a quick chart in openoffice:

My hypothesis appears to be largely borne out by the results, but there are some ripples in the tail of the curve where the post regains momentary popularity then tails off again. I’m guessing this happens when the link is discovered by a new del.icio.us sub-community (python programmers, etc) who read each other’s del.icio.us streams via rss or inbox.

A few more numbers: of 153 posts, only 19 used a title other than the page title I used in the post. Only 44 posts gave an extended description. Most users (64) assigned just two tags, with the rest distributed like this:

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