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	<title>Comments on: Social Network Analysis: Can Quantity Compensate for Quality?</title>
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	<description>The End of Anonymized Data and What to Do About It</description>
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		<title>By: Nick Lim</title>
		<link>http://33bits.org/2009/02/15/social-network-analysis-can-quantity-substitute-for-quality/#comment-624</link>
		<dc:creator><![CDATA[Nick Lim]]></dc:creator>
		<pubDate>Tue, 18 Aug 2009 15:32:57 +0000</pubDate>
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		<description><![CDATA[Interesting topic.  Arvind, have you found any studies on how real world phenomenon spread through the online social networks? 

It would be interesting to explore the scope of this type of social network analysis, both in terms of amount of data and the complexity of analysis.  There are some indications from large network analysis that as size grows, the complexity of useful analysis actually drops...

Nick]]></description>
		<content:encoded><![CDATA[<p>Interesting topic.  Arvind, have you found any studies on how real world phenomenon spread through the online social networks? </p>
<p>It would be interesting to explore the scope of this type of social network analysis, both in terms of amount of data and the complexity of analysis.  There are some indications from large network analysis that as size grows, the complexity of useful analysis actually drops&#8230;</p>
<p>Nick</p>
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