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	<title>Comments on: Appaholic and Inside Facebook</title>
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		<title>By: Anonymous</title>
		<link>http://20bits.com/articles/appaholic-and-inside-facebook/comment-page-1/#comment-5577</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Wed, 18 May 2011 01:47:00 +0000</pubDate>
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		<title>By: Jesse</title>
		<link>http://20bits.com/articles/appaholic-and-inside-facebook/comment-page-1/#comment-458</link>
		<dc:creator>Jesse</dc:creator>
		<pubDate>Tue, 17 Jul 2007 17:27:39 +0000</pubDate>
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		<description>Pedram,

PageRank is a variant of eigenvector centrality but includes some probabilistic factors.

The idea behind eigenvector centrality is that the score of a node is proportional to the sum of the score of the nodes to which it is connected.  That seems roughly equivalent to real-world influence.  If I&#039;m friends with ten Fortune 500 CEOs I&#039;m probably have a large influence, even if they&#039;re my only friends.

I&#039;m sure there are papers out there about this that, like PageRank, add additional factors to take into account features of social networks that aren&#039;t a priori apparent, but I haven&#039;t read any.</description>
		<content:encoded><![CDATA[<p>Pedram,</p>
<p>PageRank is a variant of eigenvector centrality but includes some probabilistic factors.</p>
<p>The idea behind eigenvector centrality is that the score of a node is proportional to the sum of the score of the nodes to which it is connected.  That seems roughly equivalent to real-world influence.  If I&#8217;m friends with ten Fortune 500 CEOs I&#8217;m probably have a large influence, even if they&#8217;re my only friends.</p>
<p>I&#8217;m sure there are papers out there about this that, like PageRank, add additional factors to take into account features of social networks that aren&#8217;t a priori apparent, but I haven&#8217;t read any.</p>
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	<item>
		<title>By: Pedram</title>
		<link>http://20bits.com/articles/appaholic-and-inside-facebook/comment-page-1/#comment-396</link>
		<dc:creator>Pedram</dc:creator>
		<pubDate>Mon, 16 Jul 2007 23:28:48 +0000</pubDate>
		<guid isPermaLink="false">http://20bits.com/2007/07/16/appaholic-and-inside-facebook/#comment-396</guid>
		<description>It seems like eigenvector centrality is a clean representation of pagerank. Is it safe to say more central nodes are influencers?</description>
		<content:encoded><![CDATA[<p>It seems like eigenvector centrality is a clean representation of pagerank. Is it safe to say more central nodes are influencers?</p>
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