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	<title>Comments on: Influence measurement on Twitter</title>
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	<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/</link>
	<description>Social media analytics for decision-making</description>
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		<title>By: Measuring Twitter: Marketing, Conversations and Individuals</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-658</link>
		<dc:creator>Measuring Twitter: Marketing, Conversations and Individuals</dc:creator>
		<pubDate>Mon, 01 Feb 2010 18:50:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-658</guid>
		<description>[...] Respected Web Analyst Nick Arnet puts together an excellent blog post on measuring influence on Twitter. [...]</description>
		<content:encoded><![CDATA[<p>[...] Respected Web Analyst Nick Arnet puts together an excellent blog post on measuring influence on Twitter. [...]</p>
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		<title>By: Twitter Search</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-613</link>
		<dc:creator>Twitter Search</dc:creator>
		<pubDate>Wed, 27 May 2009 02:39:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-613</guid>
		<description>thats great that you are talking about the twitter api,a good example of searching with the twitter api is on twiogle.com because you can search on twitter and google at the same time.</description>
		<content:encoded><![CDATA[<p>thats great that you are talking about the twitter api,a good example of searching with the twitter api is on twiogle.com because you can search on twitter and google at the same time.</p>
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		<title>By: Implicit social networks: If Guy Kawasaki is right, so am I &#124; Measuring Social Media</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-37</link>
		<dc:creator>Implicit social networks: If Guy Kawasaki is right, so am I &#124; Measuring Social Media</dc:creator>
		<pubDate>Fri, 02 Jan 2009 03:31:40 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-37</guid>
		<description>[...] first analysis I did on Twitter was to count the followers of followers, as an illustration of how influence is a more-than-first-order phenomenon.  The number of [...]</description>
		<content:encoded><![CDATA[<p>[...] first analysis I did on Twitter was to count the followers of followers, as an illustration of how influence is a more-than-first-order phenomenon.  The number of [...]</p>
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		<title>By: Social Media Influentials - Social media analytics for decision-making from @NickArnett &#124; Web Analytics Blog &#124; Web analytics</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-35</link>
		<dc:creator>Social Media Influentials - Social media analytics for decision-making from @NickArnett &#124; Web Analytics Blog &#124; Web analytics</dc:creator>
		<pubDate>Fri, 26 Dec 2008 04:58:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-35</guid>
		<description>[...] didn&#8217;t see this post directly about Influence measurement on Twitter by Nick Arnett - it was picked by a Google Alert I set up on my own name - yet I definately am [...]</description>
		<content:encoded><![CDATA[<p>[...] didn&#8217;t see this post directly about Influence measurement on Twitter by Nick Arnett &#8211; it was picked by a Google Alert I set up on my own name &#8211; yet I definately am [...]</p>
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		<title>By: beezy (Lorelei Brown)</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-77</link>
		<dc:creator>beezy (Lorelei Brown)</dc:creator>
		<pubDate>Wed, 24 Dec 2008 04:27:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-77</guid>
		<description>Smartest thing I&#039;ve read about measuring twitter in a while: http://is.gd/dbMp</description>
		<content:encoded><![CDATA[<p>Smartest thing I&#8217;ve read about measuring twitter in a while: <a href="http://is.gd/dbMp" rel="nofollow">http://is.gd/dbMp</a></p>
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		<title>By: Dave Land</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-34</link>
		<dc:creator>Dave Land</dc:creator>
		<pubDate>Tue, 23 Dec 2008 22:51:12 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-34</guid>
		<description>Of course, I had no idea that there was so much &quot;fan-out&quot; (to borrow an electrical engineering term from a career I never had) among the just-short-of-a-hundred long-sufferers who follow my tweets. I hope I give them sufficient value for their attention.

I&#039;m sure we&#039;ll be hearing more about your experiments in mapping the tweet-net.</description>
		<content:encoded><![CDATA[<p>Of course, I had no idea that there was so much &#8220;fan-out&#8221; (to borrow an electrical engineering term from a career I never had) among the just-short-of-a-hundred long-sufferers who follow my tweets. I hope I give them sufficient value for their attention.</p>
<p>I&#8217;m sure we&#8217;ll be hearing more about your experiments in mapping the tweet-net.</p>
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		<title>By: Nick Arnett</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-32</link>
		<dc:creator>Nick Arnett</dc:creator>
		<pubDate>Tue, 23 Dec 2008 17:15:48 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-32</guid>
		<description>A helpful reader pointed me to &lt;a href = &quot;http://twinfluence.com/about.php&quot; rel=&quot;nofollow&quot;&gt;Twinfluence&lt;/a&gt;, which is doing similar measurements.  I don&#039;t see any indication that Twinfluence attempts to exclude robot sites that automatically follow you if you follow them.</description>
		<content:encoded><![CDATA[<p>A helpful reader pointed me to <a href = "http://twinfluence.com/about.php" rel="nofollow">Twinfluence</a>, which is doing similar measurements.  I don&#8217;t see any indication that Twinfluence attempts to exclude robot sites that automatically follow you if you follow them.</p>
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		<title>By: Gahlord</title>
		<link>http://www.nickarnett.net/2008/12/22/influence-measurement-on-twitter/comment-page-1/#comment-31</link>
		<dc:creator>Gahlord</dc:creator>
		<pubDate>Tue, 23 Dec 2008 14:35:30 +0000</pubDate>
		<guid isPermaLink="false">http://www.nickarnett.net/?p=92#comment-31</guid>
		<description>I&#039;ve put some rough twitter measurement stuff and resources together at my company blog: 
http://blog.unionstreetmedia.com/data/measuring-twitter/

Also, you might try twinfluence.com for measuring individuals it&#039;s the best thing I&#039;ve seen yet.

Keep working on it and letting us know how it goes. I&#039;ll be adding your post to my twitter measurement page shortly.</description>
		<content:encoded><![CDATA[<p>I&#8217;ve put some rough twitter measurement stuff and resources together at my company blog:<br />
<a href="http://blog.unionstreetmedia.com/data/measuring-twitter/" rel="nofollow">http://blog.unionstreetmedia.com/data/measuring-twitter/</a></p>
<p>Also, you might try twinfluence.com for measuring individuals it&#8217;s the best thing I&#8217;ve seen yet.</p>
<p>Keep working on it and letting us know how it goes. I&#8217;ll be adding your post to my twitter measurement page shortly.</p>
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