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	<title>The Magic Bean Laboratory</title>
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	<link>http://blog.magicbeanlab.com</link>
	<description>Mat Morrison&#039;s data-driven social media insights and opinion</description>
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		<title>How many people saw Land Rover Adventuregram on Instagram?</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/how-many-people-saw-land-rover-adventuregram-on-instagram/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/how-many-people-saw-land-rover-adventuregram-on-instagram/#comments</comments>
		<pubDate>Tue, 14 Jul 2015 18:59:34 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2484</guid>
		<description><![CDATA[<p>The Brooklyn Brothers recently released a frightfully clever campaign on Instagram as part of the launch of the new Land Rover Discovery. It takes the form of a Choose Your Own Adventure in which the player clicks tags on the photos to explore a rural and urban landscape. Each tag represents, of course, an Instagram [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/how-many-people-saw-land-rover-adventuregram-on-instagram/">How many people saw Land Rover Adventuregram on Instagram?</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/how-many-people-saw-land-rover-adventuregram-on-instagram/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<title>Median Impressions Per Tweet (and how to calculate them)</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/median-impressions-per-tweet-and-how-to-calculate-them/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/median-impressions-per-tweet-and-how-to-calculate-them/#respond</comments>
		<pubDate>Wed, 01 Jul 2015 12:49:06 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2438</guid>
		<description><![CDATA[<p>I&#8217;ve been hearing knowledgeable social media friends say that their relationship with Twitter is beginning to tail off; while they used to love the platform, they no longer feel they (or their clients) receive the value they used to. Part of this unease can no doubt simply be attributed to early adopter platform burn-out, another [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/median-impressions-per-tweet-and-how-to-calculate-them/">Median Impressions Per Tweet (and how to calculate them)</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/median-impressions-per-tweet-and-how-to-calculate-them/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Thing About the Influencers</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/influencer-evaluation/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/influencer-evaluation/#comments</comments>
		<pubDate>Thu, 14 May 2015 12:29:10 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>
		<category><![CDATA[Influence]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2424</guid>
		<description><![CDATA[<p>These are the slides and (highly idealised) script that went with them at my talk today at Digital Shoreditch. I've been doing an awful lot of thinking about "influencers" recently as part of a big project. It's been more than half a decade since I last looked at the problem in any depth; back then I was fascinated by the Social Network Analysis opportunities: these days, as you'll see, much less so.</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/influencer-evaluation/">The Thing About the Influencers</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/influencer-evaluation/feed/</wfw:commentRss>
		<slash:comments>12</slash:comments>
		</item>
		<item>
		<title>Testing the &#8220;One Image To Rule Them All&#8221; Guidelines</title>
		<link>http://blog.magicbeanlab.com/opinion/testing-the-one-image-to-rule-them-all-guidelines/</link>
		<comments>http://blog.magicbeanlab.com/opinion/testing-the-one-image-to-rule-them-all-guidelines/#comments</comments>
		<pubDate>Sun, 08 Mar 2015 21:26:37 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[Opinion and ideas]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2367</guid>
		<description><![CDATA[<p>James Whatley recently shared a post by Garrett Heath, &#8220;One Image to Rule Them All.&#8221; The timing was particularly handy, as I&#8217;d begun to freak out about image dimensions on Twitter. Twitter helpfully gives us the ideal image aspect ratio for Twitter Cards. Tip: If you want your entire image to be visible in the [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/opinion/testing-the-one-image-to-rule-them-all-guidelines/">Testing the &#8220;One Image To Rule Them All&#8221; Guidelines</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/opinion/testing-the-one-image-to-rule-them-all-guidelines/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<item>
		<title>Why Are Scammers Always From Nigeria?</title>
		<link>http://blog.magicbeanlab.com/opinion/why-are-scammers-always-from-nigeria/</link>
		<comments>http://blog.magicbeanlab.com/opinion/why-are-scammers-always-from-nigeria/#respond</comments>
		<pubDate>Thu, 05 Mar 2015 15:54:17 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[Opinion and ideas]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2356</guid>
		<description><![CDATA[<p>I am particularly fond of instances of &#8220;common knowledge&#8221; that turn out to be wrong. I actively enjoy having my remaining beliefs in urban legends burst. It feels like I&#8217;m attaining knowledge; or becoming less ignorant at the very least. This is one of my favourite examples: &#8220;Why Do Nigerian Scammers Say They Are From [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/opinion/why-are-scammers-always-from-nigeria/">Why Are Scammers Always From Nigeria?</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/opinion/why-are-scammers-always-from-nigeria/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Using BBEdit and Markdown together</title>
		<link>http://blog.magicbeanlab.com/opinion/using-bbedit-markdown-together/</link>
		<comments>http://blog.magicbeanlab.com/opinion/using-bbedit-markdown-together/#comments</comments>
		<pubDate>Sun, 01 Mar 2015 21:52:59 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[Opinion and ideas]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2350</guid>
		<description><![CDATA[<p>I&#8217;m a heavy BBEdit user. For those of you who don&#8217;t know, BBEdit is a text editor (not a word processor) and it&#8217;s been around for almost a quarter century. I use it for writing code (a bit), and for cleaning or manipulating text data (a lot.) But mostly, I use it as a research [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/opinion/using-bbedit-markdown-together/">Using BBEdit and Markdown together</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/opinion/using-bbedit-markdown-together/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Median Retweets (and trends)</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/median-retweets-trends/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/median-retweets-trends/#comments</comments>
		<pubDate>Tue, 06 Jan 2015 10:03:53 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2298</guid>
		<description><![CDATA[<p>This animated histogram charts the retweets received by an influential (anonymous) Twitter user with around 90K followers. I'm becoming very interested in the ability of Twitter users to activate their audiences.</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/median-retweets-trends/">Median Retweets (and trends)</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/median-retweets-trends/feed/</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>Using Excel to summarise your Twitter Analytics data better.</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/using-excel-summarise-twitter-analytics-data-better/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/using-excel-summarise-twitter-analytics-data-better/#comments</comments>
		<pubDate>Mon, 06 Oct 2014 19:21:52 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2281</guid>
		<description><![CDATA[<p>This is the first of what I'm planning will be a series of screencasts looking at Social Media data and analytics.</p>
<p>I hope it's going to be a useful experience for me; but more to the point, useful for you. So I hope you'll bear with me and give me feedback -- either in the comments below, or on Twitter -- where I'm @mediaczar.</p>
<p>For this first video, I thought I'd take a look at Twitter's analytics product. Twitter opened this up to the general public last month -- but some of us have had much longer to play around with it and get used to it. I thought it might be good to share some of what I've learned.</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/using-excel-summarise-twitter-analytics-data-better/">Using Excel to summarise your Twitter Analytics data better.</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/using-excel-summarise-twitter-analytics-data-better/feed/</wfw:commentRss>
		<slash:comments>18</slash:comments>
		</item>
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		<title>Building an RSS feed with ScraperWiki and Yahoo! Pipes</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/building-rss-feed-scraperwiki-yahoo-pipes/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/building-rss-feed-scraperwiki-yahoo-pipes/#respond</comments>
		<pubDate>Fri, 03 Oct 2014 21:27:26 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2267</guid>
		<description><![CDATA[<p>Building an RSS feed for Facebook's Research blog is relatively straightforward thanks to ScraperWiki and Yahoo! Pipes.</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/building-rss-feed-scraperwiki-yahoo-pipes/">Building an RSS feed with ScraperWiki and Yahoo! Pipes</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/building-rss-feed-scraperwiki-yahoo-pipes/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Bitlyquery</title>
		<link>http://blog.magicbeanlab.com/networkanalysis/bitlyquery/</link>
		<comments>http://blog.magicbeanlab.com/networkanalysis/bitlyquery/#comments</comments>
		<pubDate>Sun, 04 May 2014 20:41:05 +0000</pubDate>
		<dc:creator><![CDATA[Mat Morrison]]></dc:creator>
				<category><![CDATA[(Social) Network Analysis]]></category>

		<guid isPermaLink="false">http://blog.magicbeanlab.com/?p=2263</guid>
		<description><![CDATA[<p>I&#8217;ve decided to share some of the tools I use to do my work. Partly in the hope that someone may find them useful; partly in the hope that having other people use the tools will help improve them. The first one I&#8217;ve posted is one of a set of link shortener tools, called bitlyquery [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://blog.magicbeanlab.com/networkanalysis/bitlyquery/">Bitlyquery</a> appeared first on <a rel="nofollow" href="http://blog.magicbeanlab.com">The Magic Bean Laboratory</a>.</p>
]]></description>
		<wfw:commentRss>http://blog.magicbeanlab.com/networkanalysis/bitlyquery/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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