IRC Graphs July 24th, 2013
Patrick Stein

For some time, I’ve been wanting to find some big data source to dig around in and make plots of. Yesterday, I realized that I have access to #lisp logs from IRC going back several years.

The first question that I wanted to look at was: How well does talkativeness on IRC follow a Power Law?

It looks pretty close when you’re looking at the raw data if you limit yourself to the top 100 to 300 people. Once you get up near the top 500 people, the best-fit curve really skyrockets way through the roof. There are just tons of speakers who have said one or two lines in the given time period. And, I made no effort to track lurkers so I have no zeros in my data set.

Here is a plot of the top 250 speakers (ranked by lines spoken). stassats is the leader, followed by pjb, then H4ns, then Xach. I made a best-effort to collate different handles for the same person (e.g. Xach_ vs. Xach). The least-squares, best-fit power-law curve here is 68435 k^{-1.0638}. So, if we’re going to match the curve exactly, we’ll need stassats to talk more than twice as much. If you’d like to know how much more (or less) you should talk, drop me a note. 🙂

IRC Top 250 Talkers on #lisp by lines spoken

Click on the image above for the full-size version. I used optima.ppcre to read the log files and vecto to draw the graph. Here is the relevant source code: package.lisp, read.lisp, and power.lisp.

Lisp Package Dependencies October 21st, 2008
Patrick Stein

Some time back, xach posted information about all of the interdependcies amongst the Lisp packages available on Cliki. He had toyed with a few visualization techniques.

Me, I tweaked some old code visualization stuff I had written to output where everything was after it stabilized. Then, I tweaked my ray tracer to read that input and render the output.

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