We finally apply PageRank on two real datasets, the social network of Digg.com users and the network of citations between American Physical Society (APS) scientific articles, and compare the rankings of nodes by their indegree and PageRank score with the node ranking by their total relevance which is a real-data estimate for fitness. We find that while PageRank score is highly correlated with indegree in social network data and the two metrics have similar performance, PageRank is markedly outperformed by indegree in citation data. These findings strongly discourage the use of PageRank in systems where strong temporal patterns exist, like citation networks.
“Third, if you’ve got a factory full of children in China assembling phones for 17 cents an hour you’ve got a lot of nerve calling someone else opportunistic.”
Content discovery & user fidelization are 2 different purposes. Often publications that share studies about audience and market share fail to account for that.
Food for thought
- IADE - Escola Superior de DesignPost Grad in Communication and Image, 2001 - 2002
- IADE - Escola Superior de DesignMA in Graphic Design, 1996 - 2000
TL;DR: Hi, I'm Pedro, I'm an ex-Googler from the Webspam, Search Quality team. I'm a Managing Partner and Performance Strategy Consultant at apis3 and the Co-Founder of engeeno. Google page at +engeeno
I love the areas of Search, Web Usability, UX and Design. From March 2006 to September 2011 I worked for Google, as an Analyst in the Webspam team where everyday I dealt with spam and attempts of manipulation in the organic search results.
In September 2011 I left Google and Co-Founded Engeeno with another ex-Googler from the Search Quality team. Today we focus on Search Performance, Usability and helping move the web forward.
- apis3Managing Partner, 2013 - present
- engeenoCo-Founder and Managing Director, 2011 - present
- Webspam, Search Quality, 2006 - 2011
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