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	<title>Comments on: NBA similarity networks</title>
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	<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/</link>
	<description>Anything but arbitrary.</description>
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		<title>By: NBA playing style spectrum &#171; The Arbitrarian</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-379</link>
		<dc:creator>NBA playing style spectrum &#171; The Arbitrarian</dc:creator>
		<pubDate>Wed, 09 Jul 2008 03:16:51 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-379</guid>
		<description>[...] The Arbitrarian has spent substantial time investigating this type of comparison as well, using statistical proximity and network diagrams. Yet another characterization, somewhat more general than direct similarity comparisons, is that of [...]</description>
		<content:encoded><![CDATA[<p>[...] The Arbitrarian has spent substantial time investigating this type of comparison as well, using statistical proximity and network diagrams. Yet another characterization, somewhat more general than direct similarity comparisons, is that of [...]</p>
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		<title>By: Cornell Info 204 - Networks &#187; Blog Archive &#187; Networking Player Similarities</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-105</link>
		<dc:creator>Cornell Info 204 - Networks &#187; Blog Archive &#187; Networking Player Similarities</dc:creator>
		<pubDate>Thu, 06 Mar 2008 19:46:36 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-105</guid>
		<description>[...] debates about athletic prowess, one blogger has developed statistical similarity networks for NBA players and Major League Baseball batters.  By finding each player’s ratio for all statistical [...]</description>
		<content:encoded><![CDATA[<p>[...] debates about athletic prowess, one blogger has developed statistical similarity networks for NBA players and Major League Baseball batters.  By finding each player’s ratio for all statistical [...]</p>
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		<title>By: Pensieri sparsi &#187; Crossover</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-96</link>
		<dc:creator>Pensieri sparsi &#187; Crossover</dc:creator>
		<pubDate>Tue, 04 Mar 2008 22:19:38 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-96</guid>
		<description>[...] si è messo a fare un diagramma che mette in luce le similitudini fra giocatori NBA, se avete [...]</description>
		<content:encoded><![CDATA[<p>[...] si è messo a fare un diagramma che mette in luce le similitudini fra giocatori NBA, se avete [...]</p>
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		<title>By: MLB Batter network diagram by statistical proximity &#171; The Arbitrarian</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-90</link>
		<dc:creator>MLB Batter network diagram by statistical proximity &#171; The Arbitrarian</dc:creator>
		<pubDate>Mon, 03 Mar 2008 01:23:51 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-90</guid>
		<description>[...] 2, 2008 by rapidadverbssuck    The next in a series consists of batters in the MLB from 1955-2007 (because the modern set of statistics has not changed [...]</description>
		<content:encoded><![CDATA[<p>[...] 2, 2008 by rapidadverbssuck    The next in a series consists of batters in the MLB from 1955-2007 (because the modern set of statistics has not changed [...]</p>
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		<title>By: Shayan</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-76</link>
		<dc:creator>Shayan</dc:creator>
		<pubDate>Thu, 28 Feb 2008 19:35:25 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-76</guid>
		<description>This is VERY cool I must say. Great work.</description>
		<content:encoded><![CDATA[<p>This is VERY cool I must say. Great work.</p>
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		<title>By: Links/Articles Tagged Between February 21st and February 27th</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-74</link>
		<dc:creator>Links/Articles Tagged Between February 21st and February 27th</dc:creator>
		<pubDate>Wed, 27 Feb 2008 22:11:59 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-74</guid>
		<description>[...] NBA similarity networks &#171; The Arbitrarian :: [Tags: basketball maps stats ] [...]</description>
		<content:encoded><![CDATA[<p>[...] NBA similarity networks &laquo; The Arbitrarian :: [Tags: basketball maps stats ] [...]</p>
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		<title>By: The microcosmic NBA petri dish &#171; The Arbitrarian</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-67</link>
		<dc:creator>The microcosmic NBA petri dish &#171; The Arbitrarian</dc:creator>
		<pubDate>Tue, 26 Feb 2008 00:43:36 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-67</guid>
		<description>[...] all different phyla and genera of player types represented. I used the same methodology I&#8217;ve been using (with the per-minute, rather than ratio statistics), but generated the graph with fewer connections [...]</description>
		<content:encoded><![CDATA[<p>[...] all different phyla and genera of player types represented. I used the same methodology I&#8217;ve been using (with the per-minute, rather than ratio statistics), but generated the graph with fewer connections [...]</p>
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		<title>By: Quarterback network diagram by statistical proximity &#171; The Arbitrarian</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-61</link>
		<dc:creator>Quarterback network diagram by statistical proximity &#171; The Arbitrarian</dc:creator>
		<pubDate>Mon, 25 Feb 2008 11:00:18 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-61</guid>
		<description>[...] 25, 2008 by rapidadverbssuck    For more information, just refer back to my last post, which dealt with this same methodology applied to the NBA. I&#8217;ve done the same thing here [...]</description>
		<content:encoded><![CDATA[<p>[...] 25, 2008 by rapidadverbssuck    For more information, just refer back to my last post, which dealt with this same methodology applied to the NBA. I&#8217;ve done the same thing here [...]</p>
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		<title>By: rapidadverbssuck</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-54</link>
		<dc:creator>rapidadverbssuck</dc:creator>
		<pubDate>Sun, 24 Feb 2008 02:04:51 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-54</guid>
		<description>For what it&#039;s worth, three-pointers vs. total field goals is already included in the algorithm. Given that Bird took a substantially greater number of threes than does Garnett, and given that this fact was factored in equally with all other factors, one can conclude that their playing styles must be VERY similar in all other respects for the pair of them to still come out as close matches. One thing of interest that is not evident from the diagram is that if you look at each players minimum distance to another player, Bird and Garnett&#039;s minimums are substantially higher than most players -- that is, they are fairly unique. I plan on having a post in the future along these lines.</description>
		<content:encoded><![CDATA[<p>For what it&#8217;s worth, three-pointers vs. total field goals is already included in the algorithm. Given that Bird took a substantially greater number of threes than does Garnett, and given that this fact was factored in equally with all other factors, one can conclude that their playing styles must be VERY similar in all other respects for the pair of them to still come out as close matches. One thing of interest that is not evident from the diagram is that if you look at each players minimum distance to another player, Bird and Garnett&#8217;s minimums are substantially higher than most players &#8212; that is, they are fairly unique. I plan on having a post in the future along these lines.</p>
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		<title>By: succotashi</title>
		<link>http://arbitrarian.wordpress.com/2008/02/22/nba-similarity-networks/#comment-53</link>
		<dc:creator>succotashi</dc:creator>
		<pubDate>Sat, 23 Feb 2008 19:56:14 +0000</pubDate>
		<guid isPermaLink="false">http://arbitrarian.wordpress.com/?p=53#comment-53</guid>
		<description>It&#039;s interesting to see Larry Bird and Kevin Garnett linked together.  You wouldn&#039;t immediately make that connection just based on how you remember Bird played and how you&#039;ve seen Garnett play, but when you look at the numbers, they were both 20-10-5 guys.  
I don&#039;t know how you would implement this, but I think factoring in where a player takes his shots might provide an even better picture.  Maybe starting with just 3&#039;s vs. 2&#039;s for modern players...</description>
		<content:encoded><![CDATA[<p>It&#8217;s interesting to see Larry Bird and Kevin Garnett linked together.  You wouldn&#8217;t immediately make that connection just based on how you remember Bird played and how you&#8217;ve seen Garnett play, but when you look at the numbers, they were both 20-10-5 guys.<br />
I don&#8217;t know how you would implement this, but I think factoring in where a player takes his shots might provide an even better picture.  Maybe starting with just 3&#8217;s vs. 2&#8217;s for modern players&#8230;</p>
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