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	<title>Comments for The Magic Bean Laboratory</title>
	
	<link>http://blog.magicbeanlab.com</link>
	<description>Data-driven social media insights and opinion</description>
	<lastBuildDate>Thu, 25 Apr 2013 18:06:41 +0000</lastBuildDate>
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		<title>Comment on Forecasting Google search volume using R by Josh Dulberger</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/7rjnphqzGTo/</link>
		<dc:creator>Josh Dulberger</dc:creator>
		<pubDate>Thu, 25 Apr 2013 18:06:41 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=33434411864#comment-3318</guid>
		<description><![CDATA[Nice post, and definitely good to do this in R instead of excel. That said, array formulae do work in mac excel - use command+shift+enter.  For an easy example, try the frequency function: create some data, some bins, then highlight the column/rows next to the bins, go to the forumla bar and enter frequency(array, bins), then command+shift+enter. It works on the skeezy workbook too, and I think John is on a mac.]]></description>
		<content:encoded><![CDATA[<p>Nice post, and definitely good to do this in R instead of excel. That said, array formulae do work in mac excel &#8211; use command+shift+enter.  For an easy example, try the frequency function: create some data, some bins, then highlight the column/rows next to the bins, go to the forumla bar and enter frequency(array, bins), then command+shift+enter. It works on the skeezy workbook too, and I think John is on a mac.</p>
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		<title>Comment on Can we calculate party affiliation using Twitter networks? (US Congress Edition) by Respondent-driven Sampling | KnowledgeWatch</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/GkVCmpSvXm4/</link>
		<dc:creator>Respondent-driven Sampling | KnowledgeWatch</dc:creator>
		<pubDate>Fri, 19 Apr 2013 14:38:40 +0000</pubDate>
		<guid isPermaLink="false">http://mediaczar.com/blog/?p=816#comment-3317</guid>
		<description><![CDATA[[...] there are still some connections between the two clusters from the people who work on both sides.  http://blog.magicbeanlab.com/networkanalysis/calculating-party-affiliation-us-congress/  NOTE: that this might not be the best example because a lot of Congressman did not tweet each [...]]]></description>
		<content:encoded><![CDATA[<p>[...] there are still some connections between the two clusters from the people who work on both sides.  <a href="http://blog.magicbeanlab.com/networkanalysis/calculating-party-affiliation-us-congress/ " rel="nofollow">http://blog.magicbeanlab.com/networkanalysis/calculating-party-affiliation-us-congress/ </a> NOTE: that this might not be the best example because a lot of Congressman did not tweet each [...]</p>
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	<feedburner:origLink>http://blog.magicbeanlab.com/networkanalysis/calculating-party-affiliation-us-congress/#comment-3317</feedburner:origLink></item>
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		<title>Comment on How should Page Admins deal with Flame Wars? by Estimated Follower Accession Charts for Twitter | OUseful.Info, the blog...</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/zXaX0tgp3I8/</link>
		<dc:creator>Estimated Follower Accession Charts for Twitter | OUseful.Info, the blog...</dc:creator>
		<pubDate>Fri, 05 Apr 2013 10:32:16 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=1390#comment-3316</guid>
		<description><![CDATA[[...] or so ago, Mat Morrison/@mediaczar introduced me to a visualisation he&#8217;d been working on (How should Page Admins deal with Flame Wars?) that I started to refer to as an accession chart (Visualising Activity Around a Twitter Hashtag or [...]]]></description>
		<content:encoded><![CDATA[<p>[...] or so ago, Mat Morrison/@mediaczar introduced me to a visualisation he&#8217;d been working on (How should Page Admins deal with Flame Wars?) that I started to refer to as an accession chart (Visualising Activity Around a Twitter Hashtag or [...]</p>
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	<feedburner:origLink>http://blog.magicbeanlab.com/networkanalysis/how-should-page-admins-deal-with-flame-wars/#comment-3316</feedburner:origLink></item>
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		<title>Comment on The Engagement Thing by Digital Marketing Blogs | top10digitalmarketingblogs</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/yujn6nB4sGo/</link>
		<dc:creator>Digital Marketing Blogs | top10digitalmarketingblogs</dc:creator>
		<pubDate>Mon, 01 Apr 2013 20:28:49 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=33434412083#comment-3315</guid>
		<description><![CDATA[[...] http://blog.magicbeanlab.com/data-viz/the-engagement-thing/ - Appearing independent and described as Data-driven social media insights and opinion.  Digital Marketing guru, stats and analytical, research driven findings. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] <a href="http://blog.magicbeanlab.com/data-viz/the-engagement-thing/ -" rel="nofollow">http://blog.magicbeanlab.com/data-viz/the-engagement-thing/ -</a> Appearing independent and described as Data-driven social media insights and opinion.  Digital Marketing guru, stats and analytical, research driven findings. [...]</p>
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		<title>Comment on Forecasting Google search volume using R by Alex Zverev</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/rwYO_A9qdTw/</link>
		<dc:creator>Alex Zverev</dc:creator>
		<pubDate>Fri, 08 Mar 2013 19:41:12 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=33434411864#comment-3312</guid>
		<description><![CDATA[ok, will try]]></description>
		<content:encoded><![CDATA[<p>ok, will try</p>
<img src="http://feeds.feedburner.com/~r/magicbeanlab_comments/~4/rwYO_A9qdTw" height="1" width="1"/>]]></content:encoded>
	<feedburner:origLink>http://blog.magicbeanlab.com/data-viz/forecasting-search-volume/#comment-3312</feedburner:origLink></item>
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		<title>Comment on Forecasting Google search volume using R by Mat Morrison</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/pU3L_SNdJhU/</link>
		<dc:creator>Mat Morrison</dc:creator>
		<pubDate>Wed, 06 Mar 2013 11:39:53 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=33434411864#comment-3311</guid>
		<description><![CDATA[I&#039;m afraid not -- I was using the search data as sample data to test the process, rather than for any specific business need. But it should be possible to use data from Google Insights to test the accuracy and fit.]]></description>
		<content:encoded><![CDATA[<p>I&#039;m afraid not &#8212; I was using the search data as sample data to test the process, rather than for any specific business need. But it should be possible to use data from Google Insights to test the accuracy and fit.</p>
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	<item>
		<title>Comment on Forecasting Google search volume using R by Mat Morrison</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/YmBGh3frmS8/</link>
		<dc:creator>Mat Morrison</dc:creator>
		<pubDate>Wed, 06 Mar 2013 11:37:45 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=33434411864#comment-3310</guid>
		<description><![CDATA[I&#039;m afraid not. But it should be possible to use data from Google Insights to test the accuracy and fit.]]></description>
		<content:encoded><![CDATA[<p>I&#8217;m afraid not. But it should be possible to use data from Google Insights to test the accuracy and fit.</p>
<img src="http://feeds.feedburner.com/~r/magicbeanlab_comments/~4/YmBGh3frmS8" height="1" width="1"/>]]></content:encoded>
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	<item>
		<title>Comment on Forecasting Google search volume using R by Alex Zverev</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/4NuZ0OFx2S8/</link>
		<dc:creator>Alex Zverev</dc:creator>
		<pubDate>Fri, 01 Mar 2013 07:33:38 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=33434411864#comment-3308</guid>
		<description><![CDATA[do you test this method in real case?]]></description>
		<content:encoded><![CDATA[<p>do you test this method in real case?</p>
<img src="http://feeds.feedburner.com/~r/magicbeanlab_comments/~4/4NuZ0OFx2S8" height="1" width="1"/>]]></content:encoded>
	<feedburner:origLink>http://blog.magicbeanlab.com/data-viz/forecasting-search-volume/#comment-3308</feedburner:origLink></item>
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		<title>Comment on A perl script to create Twitter friend/follow matrices by Mat Morrison</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/yy3cCnoGBzE/</link>
		<dc:creator>Mat Morrison</dc:creator>
		<pubDate>Mon, 25 Feb 2013 12:22:48 +0000</pubDate>
		<guid isPermaLink="false">http://mediaczar.com/blog/?p=988#comment-3307</guid>
		<description><![CDATA[I didn&#039;t really; but in subsequent projects, I did work out that it was cheaper (in API terms) to use the &lt;a href=&quot;https://dev.twitter.com/docs/api/1.1/get/followers/ids&quot; rel=&quot;nofollow&quot;&gt;&lt;code&gt;GET followers/ids&lt;/code&gt;&lt;/a&gt; method. After that, it&#039;s relatively easy to process the data. Here&#039;s the &lt;a href=&quot;https://github.com/mediaczar/network-analysis-tools/blob/master/gettwitternet.pl&quot; rel=&quot;nofollow&quot;&gt;script I came up with&lt;/a&gt;. I make no guarantees that it still works...]]></description>
		<content:encoded><![CDATA[<p>I didn&#8217;t really; but in subsequent projects, I did work out that it was cheaper (in API terms) to use the <a href="https://dev.twitter.com/docs/api/1.1/get/followers/ids" rel="nofollow"><code>GET followers/ids</code></a> method. After that, it&#8217;s relatively easy to process the data. Here&#8217;s the <a href="https://github.com/mediaczar/network-analysis-tools/blob/master/gettwitternet.pl" rel="nofollow">script I came up with</a>. I make no guarantees that it still works&#8230;</p>
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		<title>Comment on Changing to Facebook Timeline has no impact on Engagement by After Timeline, Top 50 Brands See Facebook Comments Dip 11%, Likes Rise 11% | Ignite Social Media</title>
		<link>http://feedproxy.google.com/~r/magicbeanlab_comments/~3/dVWs6TLheXU/</link>
		<dc:creator>After Timeline, Top 50 Brands See Facebook Comments Dip 11%, Likes Rise 11% | Ignite Social Media</dc:creator>
		<pubDate>Mon, 25 Feb 2013 05:00:59 +0000</pubDate>
		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=1630#comment-3306</guid>
		<description><![CDATA[[...] There have been several other studies looking at this already. Some say it has had no impact and that engagement was down for everyone. Others say it lead to a 46% increase in engagement.  Others point out that since most engagement takes place in the news feed, engagement should not materially change. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] There have been several other studies looking at this already. Some say it has had no impact and that engagement was down for everyone. Others say it lead to a 46% increase in engagement.  Others point out that since most engagement takes place in the news feed, engagement should not materially change. [...]</p>
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