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	<title>Comments on: Social Media Measurement via Network Theory</title>
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		<title>By: Nick Lim</title>
		<link>http://blog.purevisibility.com/2008/05/social-media-measurement-via-network-theory/comment-page-1/#comment-1686</link>
		<dc:creator>Nick Lim</dc:creator>
		<pubDate>Wed, 19 Aug 2009 13:28:35 +0000</pubDate>
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		<description>Hi, if we were to start this type of project that looks at the relationships among blogs, can you provide some advice on how to obtain the link information about the blogs?  In other words, how do you construct a map of the community in a fairly scalable way?

thanks
Nick
nick@sonamine.com</description>
		<content:encoded><![CDATA[<p>Hi, if we were to start this type of project that looks at the relationships among blogs, can you provide some advice on how to obtain the link information about the blogs?  In other words, how do you construct a map of the community in a fairly scalable way?</p>
<p>thanks<br />
Nick<br />
<a href="mailto:nick@sonamine.com">nick@sonamine.com</a></p>
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		<title>By: How Information Scatter Informs Content &#124; Own Page One: Search Engine Visibility Blog - Online Marketing Strategy and Tips</title>
		<link>http://blog.purevisibility.com/2008/05/social-media-measurement-via-network-theory/comment-page-1/#comment-708</link>
		<dc:creator>How Information Scatter Informs Content &#124; Own Page One: Search Engine Visibility Blog - Online Marketing Strategy and Tips</dc:creator>
		<pubDate>Mon, 18 Aug 2008 18:46:09 +0000</pubDate>
		<guid isPermaLink="false">http://blog.purevisibility.com/?p=142#comment-708</guid>
		<description>[...] metrics like degree, betweenness, etc have also been discussed, but still on the level of [...]</description>
		<content:encoded><![CDATA[<p>[...] metrics like degree, betweenness, etc have also been discussed, but still on the level of [...]</p>
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		<title>By: jhullman</title>
		<link>http://blog.purevisibility.com/2008/05/social-media-measurement-via-network-theory/comment-page-1/#comment-534</link>
		<dc:creator>jhullman</dc:creator>
		<pubDate>Tue, 27 May 2008 18:33:18 +0000</pubDate>
		<guid isPermaLink="false">http://blog.purevisibility.com/?p=142#comment-534</guid>
		<description>Agreed.  This would also be a much more user-based way to define a social community in the first place (membership in the network defined by term frequency above a certain threshold)</description>
		<content:encoded><![CDATA[<p>Agreed.  This would also be a much more user-based way to define a social community in the first place (membership in the network defined by term frequency above a certain threshold)</p>
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		<title>By: Bud Gibson</title>
		<link>http://blog.purevisibility.com/2008/05/social-media-measurement-via-network-theory/comment-page-1/#comment-533</link>
		<dc:creator>Bud Gibson</dc:creator>
		<pubDate>Tue, 27 May 2008 17:31:54 +0000</pubDate>
		<guid isPermaLink="false">http://blog.purevisibility.com/?p=142#comment-533</guid>
		<description>I&#039;ve actually used some of these measures to relate student participation in a blog network to other aspects of class performance.  Another way to look at centrality is to step outside of the usual measures of connectedness and do things like textual analysis.  Then you can relate people based on the concepts they are discussing and whether they are linking (not unlike a search algorithm). That has led to some interesting insights.</description>
		<content:encoded><![CDATA[<p>I&#8217;ve actually used some of these measures to relate student participation in a blog network to other aspects of class performance.  Another way to look at centrality is to step outside of the usual measures of connectedness and do things like textual analysis.  Then you can relate people based on the concepts they are discussing and whether they are linking (not unlike a search algorithm). That has led to some interesting insights.</p>
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