A Data-driven Look at the Realtime Web

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Slides from my keynote at Web2 Expo on May 6, 2010.

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  • Relevance within an immediate temporal contextExample: there are free cheeseburgers until 1pm today vs how many cheeseburgers are sold each year
  • http://www.flickr.com/photos/laurenmanning/1850210315/sizes/l/
  • In the time that I’m on the stage… 2299476 = 5% of twitterfirehose | 347,222 is based on the 50 million per dayFB has 25 billion pieces of content per month (http://www.facebook.com/press/info.php?statistics)Some of this is interdependent
  • Extremely high diversity of data sourcesNo single data source > 10%Decay rate and half lifeIcons by Komodo Media
  • 28% tech news10% business14% entertainment
  • Baseline volcano interest in about 300 pages per dayJumped up to almost 18000Interesting thing is that the last little burst is about volcanos in general, this event has changed the way we think about that part of the natural world
  • Lolcats and kittens are normalized
  • http://www.flickr.com/photos/thomashawk/20012392/sizes/l/
  • Nycvs dc
  • 9.8% and trending up
  • A Data-driven Look at the Realtime Web

    1. 1. A Data-driven Look at the Real-time Web<br />Hilary Mason<br />@hmason<br />
    2. 2. Real time?<br />
    3. 3. Platform<br />
    4. 4. 9 new articles created on wikipedia<br />347,222 tweets<br />1,079,484 clicks on bit.ly links<br />284,722 new bit.ly links<br />4<br />
    5. 5. 5<br />
    6. 6. diverse & timely<br />
    7. 7. rich content<br />
    8. 8. topics<br />tech news<br />business<br />entertainment<br />
    9. 9. .3% of links are about the weather<br />
    10. 10. significant events<br />10<br />
    11. 11. zomg volcano!<br />
    12. 12. lolcatsvs the volcano<br />
    13. 13. location<br />13<br />
    14. 14. location matters.<br />
    15. 15. w2e clicks by country<br />
    16. 16. mobile<br />
    17. 17. 17<br />
    18. 18. 18<br />
    19. 19. Thanks!<br />h@bit.ly @hmason<br />

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