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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mixing patterns in networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/cond-mat_0209450/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/cond-mat_0209450/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mixing patterns in networks — mentioned by Anon84</title><link>https://news.ycombinator.com/item?id=1261008</link><guid isPermaLink="false">urn:hackerpapers:mention:cond-mat_0209450:1261008</guid><pubDate>Tue, 13 Apr 2010 02:19:27 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s pretty easy to explain actually. There&amp;#x27;s a few &amp;quot;hubs&amp;quot; that have a large number of friends (since it&amp;#x27;s a power-law, the number of hubs will be relatively large) and that, in aggregate, are connected to everyone. On the other hand, &amp;quot;normal joes&amp;quot; despite only having a few friends are also likely to be connected to these hubs thus biasing their own averages. As a simple example, consider websites. The websites you link to likely have more links pointing to them than your site does, since everybody links to the likes of CNN, google, etc and &amp;quot;nobody&amp;quot; (comparatively) links to you. You can get a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/cond-mat_0209450/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cond-mat.stat-mech</category></item></channel></rss>
