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	<title>Comments on: Sampling the Social Graph using Facebook Graph API</title>
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	<link>http://blog.voidsearch.com/statistics/sampling-the-social-graph-using-facebook-graph-api/</link>
	<description>information visualization and search :art collective</description>
	<pubDate>Sat, 19 May 2012 15:37:00 +0000</pubDate>
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		<title>By: void:search* blog&#187; Blog Archive &#187; Apache Avro in practice</title>
		<link>http://blog.voidsearch.com/statistics/sampling-the-social-graph-using-facebook-graph-api/comment-page-1/#comment-179</link>
		<dc:creator>void:search* blog&#187; Blog Archive &#187; Apache Avro in practice</dc:creator>
		<pubDate>Mon, 03 May 2010 04:00:06 +0000</pubDate>
		<guid isPermaLink="false">http://blog.voidsearch.com/?p=174#comment-179</guid>
		<description>[...] However, getting up to speed with Avro for simple local serialization might not be as straightforward (mostly due to the lack of examples). We give an example of using Avro with Java for simple local serialization and discuss some potential pitfalls. We consider a trivial example of serializing to disk social graph dataset mentioned in previous post. [...]</description>
		<content:encoded><![CDATA[<p>[...] However, getting up to speed with Avro for simple local serialization might not be as straightforward (mostly due to the lack of examples). We give an example of using Avro with Java for simple local serialization and discuss some potential pitfalls. We consider a trivial example of serializing to disk social graph dataset mentioned in previous post. [...]</p>
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		<title>By: Tweets that mention void:search* blog» Blog Archive » Sampling the Social Graph using Facebook Graph API -- Topsy.com</title>
		<link>http://blog.voidsearch.com/statistics/sampling-the-social-graph-using-facebook-graph-api/comment-page-1/#comment-169</link>
		<dc:creator>Tweets that mention void:search* blog» Blog Archive » Sampling the Social Graph using Facebook Graph API -- Topsy.com</dc:creator>
		<pubDate>Mon, 26 Apr 2010 03:17:27 +0000</pubDate>
		<guid isPermaLink="false">http://blog.voidsearch.com/?p=174#comment-169</guid>
		<description>[...] This post was mentioned on Twitter by Edward J. Yoon, Aleksandar Bradic. Aleksandar Bradic said: Sampling the Social Graph using Facebook Graph API &#124; http://tinyurl.com/2fqyrur [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Edward J. Yoon, Aleksandar Bradic. Aleksandar Bradic said: Sampling the Social Graph using Facebook Graph API | <a href="http://tinyurl.com/2fqyrur" rel="nofollow">http://tinyurl.com/2fqyrur</a> [...]</p>
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		<title>By: void:search* blog&#187; Blog Archive &#187; Nonparametric regression using R</title>
		<link>http://blog.voidsearch.com/statistics/sampling-the-social-graph-using-facebook-graph-api/comment-page-1/#comment-168</link>
		<dc:creator>void:search* blog&#187; Blog Archive &#187; Nonparametric regression using R</dc:creator>
		<pubDate>Sun, 25 Apr 2010 22:04:08 +0000</pubDate>
		<guid isPermaLink="false">http://blog.voidsearch.com/?p=174#comment-168</guid>
		<description>[...] Unlike standard linear regression, where we the goal is determining parameters of assumed linear function, with nonparametric regression, the goal is estimating the entire regression function directly. Depending on the assumptions on the structure of underlying data, a number of methods exist that achieve optimality of estimation. We give a overview of several methods and explain their practical usage in R. In doing so, we make use of the social graph data described in recent post. [...]</description>
		<content:encoded><![CDATA[<p>[...] Unlike standard linear regression, where we the goal is determining parameters of assumed linear function, with nonparametric regression, the goal is estimating the entire regression function directly. Depending on the assumptions on the structure of underlying data, a number of methods exist that achieve optimality of estimation. We give a overview of several methods and explain their practical usage in R. In doing so, we make use of the social graph data described in recent post. [...]</p>
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