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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Rise and Fall of Network Stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1706.06690/</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/1706.06690/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Rise and Fall of Network Stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time — mentioned by firem</title><link>https://news.ycombinator.com/item?id=16394366</link><guid isPermaLink="false">urn:hackerpapers:mention:1706.06690:16394366</guid><pubDate>Fri, 16 Feb 2018 18:11:52 GMT</pubDate><description>&lt;p&gt;We analyzed 38,000 Networks, 2.5 Million Graphs -- 1 TB of compressed data -- constructed form Reddit, Microsoft Academic, Chess Games (FICS), Bitcoin, and WikiTree to investigate how trends change over time, to understand how networks evolve, and to understand how certain users gain and lose power over time. We did our best to make our research as open and accessible as possible. If you want more details about our study, you can: - Watch our short video (https://youtu.be/zZNZ03ULASk) - Read our paper (https://arxiv.org/abs/1706.06690) - Play with the D3 based interface to see how different…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1706.06690/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item></channel></rss>
