Comments on: StackOverflow reputation statistics http://www.johndcook.com/blog/2009/03/02/stackoverflow-reputation-statistics/ The blog of John D. Cook Thu, 18 Mar 2010 18:59:21 -0400 http://wordpress.org/?v=2.8.4 hourly 1 By: John http://www.johndcook.com/blog/2009/03/02/stackoverflow-reputation-statistics/comment-page-1/#comment-19045 John Wed, 10 Jun 2009 21:41:24 +0000 http://www.johndcook.com/blog/?p=1657#comment-19045 @bandi: You are correct: I should have made a log-log plot. @Ludwig Weinzierl: Thanks. I corrected the mistake you pointed out. @bandi: You are correct: I should have made a log-log plot.

@Ludwig Weinzierl: Thanks. I corrected the mistake you pointed out.

]]> By: Ludwig Weinzierl http://www.johndcook.com/blog/2009/03/02/stackoverflow-reputation-statistics/comment-page-1/#comment-19041 Ludwig Weinzierl Wed, 10 Jun 2009 21:30:10 +0000 http://www.johndcook.com/blog/?p=1657#comment-19041 You probably meant: The average reputation was 364, though the average does NOT mean much with a power law distribution. You probably meant: The average reputation was 364, though the average does NOT mean much with a power law distribution.

]]> By: bandi http://www.johndcook.com/blog/2009/03/02/stackoverflow-reputation-statistics/comment-page-1/#comment-15875 bandi Mon, 13 Apr 2009 19:37:40 +0000 http://www.johndcook.com/blog/?p=1657#comment-15875 Nice analysis, but I have a remark: you need a linear plot on a log-log scale to have power-law, and you are using a semi-log scale, which indicates an exponential law. Nice analysis, but I have a remark:

you need a linear plot on a log-log scale to have power-law, and you are using a semi-log scale, which indicates an exponential law.

]]> By: Stack Overflow Voting Pattern Analysis - Blog - Stack Overflow http://www.johndcook.com/blog/2009/03/02/stackoverflow-reputation-statistics/comment-page-1/#comment-15848 Stack Overflow Voting Pattern Analysis - Blog - Stack Overflow Mon, 13 Apr 2009 07:54:32 +0000 http://www.johndcook.com/blog/?p=1657#comment-15848 [...] Overflow user John Cook recently wrote a blog entry analyzing the reputation scores of Stack Overflow users, which follows the expected power law [...] [...] Overflow user John Cook recently wrote a blog entry analyzing the reputation scores of Stack Overflow users, which follows the expected power law [...]

]]> By: Bill the Lizard http://www.johndcook.com/blog/2009/03/02/stackoverflow-reputation-statistics/comment-page-1/#comment-14054 Bill the Lizard Tue, 03 Mar 2009 17:40:07 +0000 http://www.johndcook.com/blog/?p=1657#comment-14054 It's interesting to see an illustration of the disparity between Stack Overflow's average users and its power users (pun intended, with apologies). If you invert the first graph you can see a classic <a href="http://en.wikipedia.org/wiki/The_Long_Tail" rel="nofollow">Long Tail</a> distribution, with many users whose questions and answers on the site are generating relatively few up votes (non-hits in Long Tail parlance). I'm not sure the publicly available data can tell us the whole story, though. I wonder if there's an invisible group of users who are relatively inactive in asking and answering questions, but who are very active in voting for questions and answers. If so, the Long Tail users are having a bigger impact on the site than is apparent from the publicly available data. It’s interesting to see an illustration of the disparity between Stack Overflow’s average users and its power users (pun intended, with apologies). If you invert the first graph you can see a classic Long Tail distribution, with many users whose questions and answers on the site are generating relatively few up votes (non-hits in Long Tail parlance). I’m not sure the publicly available data can tell us the whole story, though. I wonder if there’s an invisible group of users who are relatively inactive in asking and answering questions, but who are very active in voting for questions and answers. If so, the Long Tail users are having a bigger impact on the site than is apparent from the publicly available data.

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