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	<title>Comments on: Article: Prominence and control: The weighted rich-club effect</title>
	<atom:link href="http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/feed/" rel="self" type="application/rss+xml" />
	<link>http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/</link>
	<description>bouncing ideas</description>
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		<title>By: Moitrayee Bhattacharyya</title>
		<link>http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/#comment-1056</link>
		<dc:creator>Moitrayee Bhattacharyya</dc:creator>
		<pubDate>Sat, 01 May 2010 19:32:06 +0000</pubDate>
		<guid isPermaLink="false">http://toreopsahl.com/?p=779#comment-1056</guid>
		<description>thanks a lot for your detailed reply. It was of great help.</description>
		<content:encoded><![CDATA[<p>thanks a lot for your detailed reply. It was of great help.</p>
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	<item>
		<title>By: Tore Opsahl</title>
		<link>http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/#comment-1016</link>
		<dc:creator>Tore Opsahl</dc:creator>
		<pubDate>Fri, 23 Apr 2010 11:52:37 +0000</pubDate>
		<guid isPermaLink="false">http://toreopsahl.com/?p=779#comment-1016</guid>
		<description>The output of the weighted_richclub_w-function is what you need to plot the diagrams in the paper - with some new features:
- x: prominence parameter (horizonal axis, e.g., degree or strength)
- y: observed phi over random phi-ratio (vertical axis)
- l99, l95, h95, h99: the low and high 95% and 99% confidence intervals values from the distribution of the random phi. These values are divided by the average random phi to make them comparable to the ratio (y). See the blog post on the new randomisation procedure for two-mode networks for more info on the use of these values.</description>
		<content:encoded><![CDATA[<p>The output of the weighted_richclub_w-function is what you need to plot the diagrams in the paper &#8211; with some new features:<br />
- x: prominence parameter (horizonal axis, e.g., degree or strength)<br />
- y: observed phi over random phi-ratio (vertical axis)<br />
- l99, l95, h95, h99: the low and high 95% and 99% confidence intervals values from the distribution of the random phi. These values are divided by the average random phi to make them comparable to the ratio (y). See the blog post on the new randomisation procedure for two-mode networks for more info on the use of these values.</p>
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	<item>
		<title>By: Moitrayee</title>
		<link>http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/#comment-1013</link>
		<dc:creator>Moitrayee</dc:creator>
		<pubDate>Wed, 21 Apr 2010 19:56:22 +0000</pubDate>
		<guid isPermaLink="false">http://toreopsahl.com/?p=779#comment-1013</guid>
		<description>The manual says it returns a table of phi(obs)/phi(null) which is equal to row(weighted). But the output table has six columns. So which column is the fraction here?
I am a little confused and would greatly appreciate your help.</description>
		<content:encoded><![CDATA[<p>The manual says it returns a table of phi(obs)/phi(null) which is equal to row(weighted). But the output table has six columns. So which column is the fraction here?<br />
I am a little confused and would greatly appreciate your help.</p>
]]></content:encoded>
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	<item>
		<title>By: Moitrayee</title>
		<link>http://toreopsahl.com/2008/12/12/article-prominence-and-control-the-weighted-rich-club-effect/#comment-1012</link>
		<dc:creator>Moitrayee</dc:creator>
		<pubDate>Wed, 21 Apr 2010 19:11:52 +0000</pubDate>
		<guid isPermaLink="false">http://toreopsahl.com/?p=779#comment-1012</guid>
		<description>I was trying to use weighted_richclub_w .
I am a little confused as to what are x,y,l99,l95,h99,h95.
It would be great if you please help me out in understanding these parameters</description>
		<content:encoded><![CDATA[<p>I was trying to use weighted_richclub_w .<br />
I am a little confused as to what are x,y,l99,l95,h99,h95.<br />
It would be great if you please help me out in understanding these parameters</p>
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