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	<title>Comments on: Visualising Twitter Friend Connections Using Gephi: An Example Using the @WiredUK Friends Network</title>
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	<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/</link>
	<description>Trying to find useful things to do with emerging technologies in open education</description>
	<lastBuildDate>Sun, 19 May 2013 20:47:31 +0000</lastBuildDate>
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		<title>By: Twitter Map Portrait of TEDxBrum &#124; The Data Mine</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-41780</link>
		<dc:creator><![CDATA[Twitter Map Portrait of TEDxBrum &#124; The Data Mine]]></dc:creator>
		<pubDate>Thu, 09 May 2013 22:17:46 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-41780</guid>
		<description><![CDATA[[&#8230;] Hirst (@psychemedia) – The doyen of Twitter visualisation, whose tutorials have been very useful to [&#8230;]]]></description>
		<content:encoded><![CDATA[<p>[&#8230;] Hirst (@psychemedia) – The doyen of Twitter visualisation, whose tutorials have been very useful to [&#8230;]</p>
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		<title>By: Mapping Birmingham&#8217;s Food Scene &#124; The Data Mine</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-40807</link>
		<dc:creator><![CDATA[Mapping Birmingham&#8217;s Food Scene &#124; The Data Mine]]></dc:creator>
		<pubDate>Tue, 30 Apr 2013 09:24:06 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-40807</guid>
		<description><![CDATA[[...] Hirst (@psychemedia) – The doyen of Twitter visualisation, whose tutorials have been very useful to [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Hirst (@psychemedia) – The doyen of Twitter visualisation, whose tutorials have been very useful to [...]</p>
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		<title>By: Thatcher Tweets &#8211; A Visual History &#124; thedatamine</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-38629</link>
		<dc:creator><![CDATA[Thatcher Tweets &#8211; A Visual History &#124; thedatamine]]></dc:creator>
		<pubDate>Mon, 15 Apr 2013 11:47:50 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-38629</guid>
		<description><![CDATA[[...] Hirst (@psychemedia) &#8211; The doyen of Twitter visualisation, whose tutorials have been very useful to [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Hirst (@psychemedia) &#8211; The doyen of Twitter visualisation, whose tutorials have been very useful to [...]</p>
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		<title>By: Visualising the blog network of #edc3100 students &#124; The Weblog of (a) David Jones</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-35630</link>
		<dc:creator><![CDATA[Visualising the blog network of #edc3100 students &#124; The Weblog of (a) David Jones]]></dc:creator>
		<pubDate>Sun, 17 Mar 2013 14:31:53 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-35630</guid>
		<description><![CDATA[[...] between the blogs of students in the course I&#8217;m teaching. The process is heavily informed by the work of Tony [...]]]></description>
		<content:encoded><![CDATA[<p>[...] between the blogs of students in the course I&#8217;m teaching. The process is heavily informed by the work of Tony [...]</p>
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		<title>By: #CAST12 DataViz Sandbox &#8211; Resources &#171; OUseful.Info, the blog&#8230;</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-29331</link>
		<dc:creator><![CDATA[#CAST12 DataViz Sandbox &#8211; Resources &#171; OUseful.Info, the blog&#8230;]]></dc:creator>
		<pubDate>Wed, 12 Dec 2012 10:47:06 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-29331</guid>
		<description><![CDATA[[...] Visualising Twitter Friend Connections Using Gephi: An Example Using the @WiredUK Friends Network [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Visualising Twitter Friend Connections Using Gephi: An Example Using the @WiredUK Friends Network [...]</p>
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		<title>By: Twittergraph &#124; I&#38;M / I&#38;O 2.0</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-28544</link>
		<dc:creator><![CDATA[Twittergraph &#124; I&#38;M / I&#38;O 2.0]]></dc:creator>
		<pubDate>Mon, 12 Nov 2012 09:57:19 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-28544</guid>
		<description><![CDATA[[...] Meer informatie over hoe je een dergelijk plaatje kunt maken: - Martin Hawksey: Twitter network analysis and visualisation II &#8211; NodeXL - Tony Hirst: Visualising Twitter friend connections using Gephi &#8211; an example using WiredUK friends network [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Meer informatie over hoe je een dergelijk plaatje kunt maken: &#8211; Martin Hawksey: Twitter network analysis and visualisation II &#8211; NodeXL &#8211; Tony Hirst: Visualising Twitter friend connections using Gephi &#8211; an example using WiredUK friends network [...]</p>
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		<title>By: Tony Hirst</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-28512</link>
		<dc:creator><![CDATA[Tony Hirst]]></dc:creator>
		<pubDate>Sat, 10 Nov 2012 14:15:52 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-28512</guid>
		<description><![CDATA[@Sally The algorithm is a random one so you may get different results each time you apply it; one thing you can do to help you decide whther to &quot;accept&quot; a particular result is to look at the report that is generated to see how many nodes are assigned to each modularity group.]]></description>
		<content:encoded><![CDATA[<p>@Sally The algorithm is a random one so you may get different results each time you apply it; one thing you can do to help you decide whther to &#8220;accept&#8221; a particular result is to look at the report that is generated to see how many nodes are assigned to each modularity group.</p>
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		<title>By: sally</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-28511</link>
		<dc:creator><![CDATA[sally]]></dc:creator>
		<pubDate>Sat, 10 Nov 2012 11:21:17 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-28511</guid>
		<description><![CDATA[applying modularity on my graph is switching among 6 and 7 ? which one should i choose?]]></description>
		<content:encoded><![CDATA[<p>applying modularity on my graph is switching among 6 and 7 ? which one should i choose?</p>
]]></content:encoded>
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	<item>
		<title>By: Check Yo Self: 5 Things You Should Know About Data Science (Author Note) &#124; Analytics Made Skeezy</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-28447</link>
		<dc:creator><![CDATA[Check Yo Self: 5 Things You Should Know About Data Science (Author Note) &#124; Analytics Made Skeezy]]></dc:creator>
		<pubDate>Mon, 05 Nov 2012 18:02:42 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-28447</guid>
		<description><![CDATA[[...] If you&#8217;re making Gephi graphs out of tweets, you&#8217;re probably doing more data science marketing than data science [...]]]></description>
		<content:encoded><![CDATA[<p>[...] If you&#8217;re making Gephi graphs out of tweets, you&#8217;re probably doing more data science marketing than data science [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Visualizing cMOOC data: Extracting and analysing data from FeedWordPress part 1 #ds106 #NodeXL JISC CETIS MASHe</title>
		<link>http://blog.ouseful.info/2011/07/07/visualising-twitter-friend-connections-using-gephi-an-example-using-wireduk-friends-network/#comment-28080</link>
		<dc:creator><![CDATA[Visualizing cMOOC data: Extracting and analysing data from FeedWordPress part 1 #ds106 #NodeXL JISC CETIS MASHe]]></dc:creator>
		<pubDate>Tue, 16 Oct 2012 11:53:24 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ouseful.info/?p=5770#comment-28080</guid>
		<description><![CDATA[[...] With this data we can open in Excel and then import into NodeXL using Import &gt; From Open Workbook, more about that later, or alternatively using Gephi change the column headings in the .csv version to source and target and import via the ‘data laboratory’ tab (for graph manipulation in Gephi Tony Hirst has a great tutorial). [...]]]></description>
		<content:encoded><![CDATA[<p>[...] With this data we can open in Excel and then import into NodeXL using Import &gt; From Open Workbook, more about that later, or alternatively using Gephi change the column headings in the .csv version to source and target and import via the ‘data laboratory’ tab (for graph manipulation in Gephi Tony Hirst has a great tutorial). [...]</p>
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