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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Christian Borgs</author_name><author_url>https://www.microsoft.com/en-us/research/people/borgs/</author_url><title>Exploring the Community Structure of Newsgroups - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="oTUBiNhik1"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/exploring-community-structure-newsgroups/"&gt;Exploring the Community Structure of Newsgroups&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/exploring-community-structure-newsgroups/embed/#?secret=oTUBiNhik1" width="600" height="338" title="&#x201C;Exploring the Community Structure of Newsgroups&#x201D; &#x2014; Microsoft Research" data-secret="oTUBiNhik1" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>We propose to use the community structure of Usenet for organizing and retrieving the information stored in newsgroups. In particular, we study the network formed by crossposts, messages that are posted to two or more newsgroups simultaneously. We present what is, to our knowledge, by far the most detailed data that has been collected on [&hellip;]</description></oembed>
