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	<title>Comments on: Twitter: Frequently cited URLs, Part 2</title>
	<atom:link href="http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/</link>
	<description>Social media analytics for decision-making</description>
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		<title>By: Nick Arnett</title>
		<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/comment-page-1/#comment-514</link>
		<dc:creator>Nick Arnett</dc:creator>
		<pubDate>Sun, 08 Feb 2009 15:11:11 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=142#comment-514</guid>
		<description>See http://TwURLedNews.com</description>
		<content:encoded><![CDATA[<p>See <a href="http://TwURLedNews.com" rel="nofollow">http://TwURLedNews.com</a></p>
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		<title>By: web analytics and smo</title>
		<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/comment-page-1/#comment-512</link>
		<dc:creator>web analytics and smo</dc:creator>
		<pubDate>Sun, 08 Feb 2009 03:14:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=142#comment-512</guid>
		<description>So how are you guys exactly using and applying this info? Please give some example. Thank you!</description>
		<content:encoded><![CDATA[<p>So how are you guys exactly using and applying this info? Please give some example. Thank you!</p>
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		<title>By: Nick Arnett</title>
		<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/comment-page-1/#comment-44</link>
		<dc:creator>Nick Arnett</dc:creator>
		<pubDate>Fri, 02 Jan 2009 20:42:12 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=142#comment-44</guid>
		<description>Okay, that&#039;s pretty much what I&#039;ve done in other social network analysis, with some tweaks.  That&#039;s where I&#039;m headed with this, with the added twist of trying to do it within the Twitter API limitations, which means the exploration has to be pretty smart.

The main bit I&#039;ll add is that everybody gets some credit for re-posting a URL, since there really is no way to know (and it is quite unlikely) that all of the later ones were influenced by the first person.  Basically, the more people who post a URL after you, the more influence (or perception) you are likely to have.  Those who consistently score high this way are interesting people, even if they never or rarely are the very first.</description>
		<content:encoded><![CDATA[<p>Okay, that&#8217;s pretty much what I&#8217;ve done in other social network analysis, with some tweaks.  That&#8217;s where I&#8217;m headed with this, with the added twist of trying to do it within the Twitter API limitations, which means the exploration has to be pretty smart.</p>
<p>The main bit I&#8217;ll add is that everybody gets some credit for re-posting a URL, since there really is no way to know (and it is quite unlikely) that all of the later ones were influenced by the first person.  Basically, the more people who post a URL after you, the more influence (or perception) you are likely to have.  Those who consistently score high this way are interesting people, even if they never or rarely are the very first.</p>
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		<title>By: Xavier</title>
		<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/comment-page-1/#comment-43</link>
		<dc:creator>Xavier</dc:creator>
		<pubDate>Fri, 02 Jan 2009 20:34:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=142#comment-43</guid>
		<description>I have been thinking that there should be a way to find the &quot;rolling&quot; top 50 most posted urls on twitter, then look at that list and remove any &quot;retweets&quot; and then look at the results based on time of post. with the firts post being labeld the &quot;prime mover&quot;, then I thought that somehow someone should take that list of primemovers and track it over time and cross reference it with the &quot;retweet&quot; list. This seemed to me to be a way ate trending influence. Taking this data and viewing against rrw or dig would be a good idea too. Maybe this is already being done, maybe its not the right way to get to influence.</description>
		<content:encoded><![CDATA[<p>I have been thinking that there should be a way to find the &#8220;rolling&#8221; top 50 most posted urls on twitter, then look at that list and remove any &#8220;retweets&#8221; and then look at the results based on time of post. with the firts post being labeld the &#8220;prime mover&#8221;, then I thought that somehow someone should take that list of primemovers and track it over time and cross reference it with the &#8220;retweet&#8221; list. This seemed to me to be a way ate trending influence. Taking this data and viewing against rrw or dig would be a good idea too. Maybe this is already being done, maybe its not the right way to get to influence.</p>
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		<title>By: Nick Arnett</title>
		<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/comment-page-1/#comment-42</link>
		<dc:creator>Nick Arnett</dc:creator>
		<pubDate>Fri, 02 Jan 2009 20:23:22 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=142#comment-42</guid>
		<description>I&#039;m being careful about using the word &quot;influence.&quot;  Some people who seem to be influencers may really just be people who see trends first - they are perceptive, but not necessarily influential (though the two often go together).  In any case, the distinction may not be that important for most purposes.

What do you mean by the &quot;daily top unique url’s by member&quot; that&#039;s different from what I&#039;m doing?</description>
		<content:encoded><![CDATA[<p>I&#8217;m being careful about using the word &#8220;influence.&#8221;  Some people who seem to be influencers may really just be people who see trends first &#8211; they are perceptive, but not necessarily influential (though the two often go together).  In any case, the distinction may not be that important for most purposes.</p>
<p>What do you mean by the &#8220;daily top unique url’s by member&#8221; that&#8217;s different from what I&#8217;m doing?</p>
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		<title>By: Xavier</title>
		<link>http://www.nickarnett.net/2009/01/01/twitter-frequently-cited-urls-part-2/comment-page-1/#comment-41</link>
		<dc:creator>Xavier</dc:creator>
		<pubDate>Fri, 02 Jan 2009 20:18:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=142#comment-41</guid>
		<description>nick,

this is pretty cool, what I&#039;d like to try and figure out is a way to track and trend top 50 cited &quot;daily top unique url&#039;s by member&quot; this would be a good way to get at a top influencer metric for twitter.

X</description>
		<content:encoded><![CDATA[<p>nick,</p>
<p>this is pretty cool, what I&#8217;d like to try and figure out is a way to track and trend top 50 cited &#8220;daily top unique url&#8217;s by member&#8221; this would be a good way to get at a top influencer metric for twitter.</p>
<p>X</p>
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