<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>dhotson</author><text>We do this kind of analysis where I work for detecting fraud. I can&apos;t go into too many details, but I can probably show you a simple example: &lt;a href=&quot;http://i.imgur.com/feJLd.png&quot; rel=&quot;nofollow&quot;&gt;http://i.imgur.com/feJLd.png&lt;/a&gt;&lt;p&gt;This is showing some of the relationships between users in the system. You take a user that you know is dodgy, and then start looking at what they have in common with other users.&lt;p&gt;Also, slightly offtopic—I open sourced the graph visualisation part: &lt;a href=&quot;http://github.com/dhotson/springy&quot; rel=&quot;nofollow&quot;&gt;http://github.com/dhotson/springy&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>Uncloaking a Slumlord Conspiracy with Social Network Analysis</title><url>http://www.orgnet.com/slumlords.html</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>johnohara</author><text>The diagrams remind me of the hand-drawn ones FBI agent John O&apos;Neill created after the USS Cole incident and continually updated prior to the attacks of 9/11.&lt;p&gt;&lt;a href=&quot;http://www.pbs.org/wgbh/pages/frontline/shows/knew/etc/connect.html&quot; rel=&quot;nofollow&quot;&gt;http://www.pbs.org/wgbh/pages/frontline/shows/knew/etc/conne...&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>Uncloaking a Slumlord Conspiracy with Social Network Analysis</title><url>http://www.orgnet.com/slumlords.html</url></story>