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	<title>Comments for Cornelius Puschmann&#039;s Blog</title>
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	<link>http://blog.ynada.com</link>
	<description>My new blog on Linguistics, Digital Humanities and Scholarly Communication on the Internet</description>
	<lastBuildDate>Sun, 22 Jan 2012 06:53:25 +0000</lastBuildDate>
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		<title>Comment on Generating graphs of retweets and @-messages on Twitter using R and Gephi by Ben</title>
		<link>http://blog.ynada.com/339/comment-page-1#comment-4218</link>
		<dc:creator>Ben</dc:creator>
		<pubDate>Sun, 22 Jan 2012 06:53:25 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=339#comment-4218</guid>
		<description>Thanks for the detailed instructions. Seems like now that twapperkeeper has gone, Martin Hawksey&#039;s (@mhawksey) google sheet system for collecting tweets is the way to go. For those interested in detailed content analysis of tweets using R, I have put together some code for text mining and topic modeling over here: https://github.com/benmarwick/AAA2011-Tweets</description>
		<content:encoded><![CDATA[<p>Thanks for the detailed instructions. Seems like now that twapperkeeper has gone, Martin Hawksey&#8217;s (@mhawksey) google sheet system for collecting tweets is the way to go. For those interested in detailed content analysis of tweets using R, I have put together some code for text mining and topic modeling over here: <a href="https://github.com/benmarwick/AAA2011-Tweets" rel="nofollow">https://github.com/benmarwick/AAA2011-Tweets</a></p>
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		<title>Comment on Starting a three-year postdoc project on why scientists blog and tweet by Results for week beginning 2012-01-15 &#171; Iron Blogger Berlin</title>
		<link>http://blog.ynada.com/36/comment-page-1#comment-4217</link>
		<dc:creator>Results for week beginning 2012-01-15 &#171; Iron Blogger Berlin</dc:creator>
		<pubDate>Sat, 21 Jan 2012 23:33:44 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=36#comment-4217</guid>
		<description>[...] Starting a three-year postdoc project on why scientists blog and tweet [...]</description>
		<content:encoded><![CDATA[<p>[...] Starting a three-year postdoc project on why scientists blog and tweet [...]</p>
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		<title>Comment on How relevant is data literacy? by pereg &#124; Pearltrees</title>
		<link>http://blog.ynada.com/636/comment-page-1#comment-4214</link>
		<dc:creator>pereg &#124; Pearltrees</dc:creator>
		<pubDate>Fri, 20 Jan 2012 09:36:06 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=636#comment-4214</guid>
		<description>[...] Data literacy mind map. What&#039;s missing? How relevant is data literacy? [...]</description>
		<content:encoded><![CDATA[<p>[...] Data literacy mind map. What&#039;s missing? How relevant is data literacy? [...]</p>
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		<title>Comment on Starting a three-year postdoc project on why scientists blog and tweet by Starting a three-year postdoc project on why scientists blog and tweet &#124; &#124; LogicampLogicamp</title>
		<link>http://blog.ynada.com/36/comment-page-1#comment-4213</link>
		<dc:creator>Starting a three-year postdoc project on why scientists blog and tweet &#124; &#124; LogicampLogicamp</dc:creator>
		<pubDate>Thu, 19 Jan 2012 20:22:54 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=36#comment-4213</guid>
		<description>[...] and Twitter, and how these motives correspond with usage practices (how they blog and tweet)&#8230;Via blog.ynada.com Partager :Facebook   Ce contenu a été publié dans Non classé. Vous pouvez le mettre en favoris [...]</description>
		<content:encoded><![CDATA[<p>[...] and Twitter, and how these motives correspond with usage practices (how they blog and tweet)&#8230;Via blog.ynada.com Partager :Facebook   Ce contenu a été publié dans Non classé. Vous pouvez le mettre en favoris [...]</p>
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		<title>Comment on Starting a three-year postdoc project on why scientists blog and tweet by Doc science 2.0 &#124; Pearltrees</title>
		<link>http://blog.ynada.com/36/comment-page-1#comment-4211</link>
		<dc:creator>Doc science 2.0 &#124; Pearltrees</dc:creator>
		<pubDate>Thu, 19 Jan 2012 20:07:16 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=36#comment-4211</guid>
		<description>[...] The project follows up on my work on corporate blogging and connects strongly to what we have been doing at the Junior Researchers Group “Science and the Internet” over the past year, but the focus on interviews should result in a more user-centric analysis. As someone who has been doing (applied) linguistic analysis to make inferences about social processes, I feel much more comfortable actually talking to the people I want to study, rather than just crunching numbers on how they tweet. Big data social science research is obviously and understandably en vogue these days, but I hope to find a good synergy between qualitative and quantitative approaches in my project. My new institutional home for the next three years will be the Berlin School of Library and Information Science at Humboldt University. Starting a three-year postdoc project on why scientists blog and tweet [...]</description>
		<content:encoded><![CDATA[<p>[...] The project follows up on my work on corporate blogging and connects strongly to what we have been doing at the Junior Researchers Group “Science and the Internet” over the past year, but the focus on interviews should result in a more user-centric analysis. As someone who has been doing (applied) linguistic analysis to make inferences about social processes, I feel much more comfortable actually talking to the people I want to study, rather than just crunching numbers on how they tweet. Big data social science research is obviously and understandably en vogue these days, but I hope to find a good synergy between qualitative and quantitative approaches in my project. My new institutional home for the next three years will be the Berlin School of Library and Information Science at Humboldt University. Starting a three-year postdoc project on why scientists blog and tweet [...]</p>
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		<title>Comment on Dynamic Twitter graphs with R and Gephi (clip and code) by A Tool Chain for Plotting Twitter Archive Retweet Graphs &#8211; Py, R, Gephi &#171; OUseful.Info, the blog&#8230;</title>
		<link>http://blog.ynada.com/425/comment-page-1#comment-4179</link>
		<dc:creator>A Tool Chain for Plotting Twitter Archive Retweet Graphs &#8211; Py, R, Gephi &#171; OUseful.Info, the blog&#8230;</dc:creator>
		<pubDate>Wed, 04 Jan 2012 15:44:26 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=425#comment-4179</guid>
		<description>[...] Next on the to do list is: - automate the production of archive reports - work in the time component so we can view behaviour over time in Gephi&#8230; (here&#8217;s a starting point maybe, again from Cornelius Puschmann&#8217;s blog: Dynamic Twitter graphs with R and Gephi (clip and code)) [...]</description>
		<content:encoded><![CDATA[<p>[...] Next on the to do list is: &#8211; automate the production of archive reports &#8211; work in the time component so we can view behaviour over time in Gephi&#8230; (here&#8217;s a starting point maybe, again from Cornelius Puschmann&#8217;s blog: Dynamic Twitter graphs with R and Gephi (clip and code)) [...]</p>
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		<title>Comment on Graphing Twitter friends/followers with R (updated yet again) by Graphing Twitter friends/followers with R (updated)</title>
		<link>http://blog.ynada.com/864/comment-page-1#comment-4157</link>
		<dc:creator>Graphing Twitter friends/followers with R (updated)</dc:creator>
		<pubDate>Thu, 22 Dec 2011 10:30:07 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=864#comment-4157</guid>
		<description>[...] And here is an update of the update, this one contributed by Kai [...]</description>
		<content:encoded><![CDATA[<p>[...] And here is an update of the update, this one contributed by Kai [...]</p>
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		<title>Comment on Graphing Twitter friends/followers with R (updated yet again) by Code and brief instruction for graphing Twitter with R</title>
		<link>http://blog.ynada.com/864/comment-page-1#comment-4156</link>
		<dc:creator>Code and brief instruction for graphing Twitter with R</dc:creator>
		<pubDate>Thu, 22 Dec 2011 10:28:51 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=864#comment-4156</guid>
		<description>[...] #2 And yet another update, this one contributed by Kai [...]</description>
		<content:encoded><![CDATA[<p>[...] #2 And yet another update, this one contributed by Kai [...]</p>
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		<title>Comment on Graphing Twitter friends/followers with R (updated) by Graphing Twitter friends/followers with R (updated yet again)</title>
		<link>http://blog.ynada.com/279/comment-page-1#comment-4155</link>
		<dc:creator>Graphing Twitter friends/followers with R (updated yet again)</dc:creator>
		<pubDate>Thu, 22 Dec 2011 10:14:09 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=279#comment-4155</guid>
		<description>[...] I have previously posted code for graphing your Twitter friend/follower network using R (post #1. post #2). Last week Kai Heinrich was kind enough to send me some updated code for doing so using a newer [...]</description>
		<content:encoded><![CDATA[<p>[...] I have previously posted code for graphing your Twitter friend/follower network using R (post #1. post #2). Last week Kai Heinrich was kind enough to send me some updated code for doing so using a newer [...]</p>
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		<title>Comment on Code and brief instruction for graphing Twitter with R by Graphing Twitter friends/followers with R (updated yet again)</title>
		<link>http://blog.ynada.com/247/comment-page-1#comment-4154</link>
		<dc:creator>Graphing Twitter friends/followers with R (updated yet again)</dc:creator>
		<pubDate>Thu, 22 Dec 2011 10:12:49 +0000</pubDate>
		<guid isPermaLink="false">http://blog.ynada.com/?p=247#comment-4154</guid>
		<description>[...] know that I have previously posted code for graphing your Twitter friend/follower network using R (post #1. post #2). Last week Kai Heinrich was kind enough to send me some updated code for doing so using a [...]</description>
		<content:encoded><![CDATA[<p>[...] know that I have previously posted code for graphing your Twitter friend/follower network using R (post #1. post #2). Last week Kai Heinrich was kind enough to send me some updated code for doing so using a [...]</p>
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