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	<title>Comments on: Updated SNA in R Code</title>
	<atom:link href="http://www.drewconway.com/zia/?feed=rss2&#038;p=1485" rel="self" type="application/rss+xml" />
	<link>http://www.drewconway.com/zia/?p=1485</link>
	<description>How can the social sciences, mathematics and computer science combine to affect national security policy?</description>
	<lastBuildDate>Mon, 06 Sep 2010 14:57:18 +0000</lastBuildDate>
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		<title>By: Gregory Saxton</title>
		<link>http://www.drewconway.com/zia/?p=1485&#038;cpage=1#comment-2642</link>
		<dc:creator>Gregory Saxton</dc:creator>
		<pubDate>Sat, 16 Jan 2010 18:51:57 +0000</pubDate>
		<guid isPermaLink="false">http://www.drewconway.com/zia/?p=1485#comment-2642</guid>
		<description>Hi Drew,

I keep coming back to your site--some excellent stuff here!

I&#039;m doing a study on nonprofit organizations in Twitter and have decided to finally learn SNA at the same time as I&#039;m slowly progressing in my Python capabilities. I&#039;m wondering if you have any hints for a networks newbie--so far, what I&#039;m doing is using some simple python code that compares each of my 74 organizations&#039; friends list against the other 74 organizations ids and creating a text file as output -- this is my adjacency matrix. So, am I doing something wildly inefficient here? Any tips would be greatly appreciated. Hopefully I&#039;ll be up and running with some analyses using Networkx later on in the semester.

Also, JP, if you&#039;re reading, would you mind sharing your Python code? You can find me at www.gregorysaxton.net

Cheers,

Greg</description>
		<content:encoded><![CDATA[<p>Hi Drew,</p>
<p>I keep coming back to your site&#8211;some excellent stuff here!</p>
<p>I&#8217;m doing a study on nonprofit organizations in Twitter and have decided to finally learn SNA at the same time as I&#8217;m slowly progressing in my Python capabilities. I&#8217;m wondering if you have any hints for a networks newbie&#8211;so far, what I&#8217;m doing is using some simple python code that compares each of my 74 organizations&#8217; friends list against the other 74 organizations ids and creating a text file as output &#8212; this is my adjacency matrix. So, am I doing something wildly inefficient here? Any tips would be greatly appreciated. Hopefully I&#8217;ll be up and running with some analyses using Networkx later on in the semester.</p>
<p>Also, JP, if you&#8217;re reading, would you mind sharing your Python code? You can find me at <a href="http://www.gregorysaxton.net" rel="nofollow">http://www.gregorysaxton.net</a></p>
<p>Cheers,</p>
<p>Greg</p>
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		<title>By: JP</title>
		<link>http://www.drewconway.com/zia/?p=1485&#038;cpage=1#comment-2629</link>
		<dc:creator>JP</dc:creator>
		<pubDate>Wed, 13 Jan 2010 21:27:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.drewconway.com/zia/?p=1485#comment-2629</guid>
		<description>Hi Drew!
I just found this site after having started my personal experiments with SNA and Twitter. It&#039;s great. You posted resources, comments and suggestions which will help me progress I hope in SNA using R.
I am using my personal Twitter friends map to start and decided not to rely on any library to download my map. I tried tweepy and another one before that but ended up working out my simple scripts which are more efficient at breaking the 150req/h barrier. I generate a csv file which I then read in R.
Now I am trying to identify an approach in positional analysis to see if there&#039;s a way to identify the sub-communities I know I have. I am using the Carter Butts sna package for now.
Thanks again!</description>
		<content:encoded><![CDATA[<p>Hi Drew!<br />
I just found this site after having started my personal experiments with SNA and Twitter. It&#8217;s great. You posted resources, comments and suggestions which will help me progress I hope in SNA using R.<br />
I am using my personal Twitter friends map to start and decided not to rely on any library to download my map. I tried tweepy and another one before that but ended up working out my simple scripts which are more efficient at breaking the 150req/h barrier. I generate a csv file which I then read in R.<br />
Now I am trying to identify an approach in positional analysis to see if there&#8217;s a way to identify the sub-communities I know I have. I am using the Carter Butts sna package for now.<br />
Thanks again!</p>
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