Tuning regulars: Difference between revisions
Wikispaces>xenjacob **Imported revision 36407105 - Original comment: tuning list top ten! what a pointless way to spend an hour!** |
Wikispaces>clumma **Imported revision 144976829 - Original comment: ** |
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<h2>IMPORTED REVISION FROM WIKISPACES</h2> | <h2>IMPORTED REVISION FROM WIKISPACES</h2> | ||
This is an imported revision from Wikispaces. The revision metadata is included below for reference:<br> | This is an imported revision from Wikispaces. The revision metadata is included below for reference:<br> | ||
: This revision was by author [[User: | : This revision was by author [[User:clumma|clumma]] and made on <tt>2010-05-26 17:33:14 UTC</tt>.<br> | ||
: The original revision id was <tt> | : The original revision id was <tt>144976829</tt>.<br> | ||
: The revision comment was: <tt> | : The revision comment was: <tt></tt><br> | ||
The revision contents are below, presented both in the original Wikispaces Wikitext format, and in HTML exactly as Wikispaces rendered it.<br> | The revision contents are below, presented both in the original Wikispaces Wikitext format, and in HTML exactly as Wikispaces rendered it.<br> | ||
<h4>Original Wikitext content:</h4> | <h4>Original Wikitext content:</h4> | ||
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These ten individuals have collectively posted 32,916 messages, or 42% of the total number of posts in the Yahoo tuning group. | These ten individuals have collectively posted 32,916 messages, or 42% of the total number of posts in the Yahoo tuning group. | ||
There is much more to be said about this.</pre></div> | There is much more to be said about this. | ||
...There is? Ok, I'll say more: Over what period of time were posts counted? How did you get the data (Yahoo doesn't exactly provide APIs for this last I checked)? | |||
It appears to be a power-law type distribution, which I would expect. Can anyone find the scaling exponent?</pre></div> | |||
<h4>Original HTML content:</h4> | <h4>Original HTML content:</h4> | ||
<div style="width:100%; max-height:400pt; overflow:auto; background-color:#f8f9fa; border: 1px solid #eaecf0; padding:0em"><pre style="margin:0px;border:none;background:none;word-wrap:break-word;width:200%;white-space: pre-wrap ! important" class="old-revision-html"><html><head><title>tuning regulars</title></head><body>The Tuning List Top Ten Posters<br /> | <div style="width:100%; max-height:400pt; overflow:auto; background-color:#f8f9fa; border: 1px solid #eaecf0; padding:0em"><pre style="margin:0px;border:none;background:none;word-wrap:break-word;width:200%;white-space: pre-wrap ! important" class="old-revision-html"><html><head><title>tuning regulars</title></head><body>The Tuning List Top Ten Posters<br /> | ||
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These ten individuals have collectively posted 32,916 messages, or 42% of the total number of posts in the Yahoo tuning group.<br /> | These ten individuals have collectively posted 32,916 messages, or 42% of the total number of posts in the Yahoo tuning group.<br /> | ||
<br /> | <br /> | ||
There is much more to be said about this.</body></html></pre></div> | There is much more to be said about this.<br /> | ||
<br /> | |||
...There is? Ok, I'll say more: Over what period of time were posts counted? How did you get the data (Yahoo doesn't exactly provide APIs for this last I checked)?<br /> | |||
<br /> | |||
It appears to be a power-law type distribution, which I would expect. Can anyone find the scaling exponent?</body></html></pre></div> | |||