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32. Fête du Pain
1 year ago
31. Fête du Pain!!
1 year ago
19. Just Landed - 61 Hours
2 years ago
18. Just Landed - 36 Hours
2 years ago
16. Urchin Pile
3 years ago
I was discussing H1N1 with a bioinformatics friend of mine last weekend, and we ended up talking about ways that epidemiologists model transmission of disease. I wondered how some of the information that is shared voluntarily on social networks might be used to build useful models of various kinds.

I'm also interested in visualizing information that isn't implicitly shared - but instead is inferred or suggested.

This piece looks for tweets containing the phrases 'just landed in...' or 'just arrived in...'. Locations from these tweets are located using MetaCarta's Location Finder API. The home location for the traveling users are scraped from their Twitter pages. The system then plots these voyages over time.

I'm not entirely sure where this will end up going, but I am reasonably happy with the results so far.

Built with Processing (processing.org)

You can read more about this project on my blog - blog.blprnt.com

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  • hamilton wallace 2 years ago
    Knocks me out.
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  • daniel 2 years ago
    It seems weird that all the flights are coming from the US, and non are going back.
  • Feral Oink 1 year ago
    Interesting point. I wonder what the duration of the real time interval that was used for this video, and what time of year that was?

    Seasonality and other time issues could explain what you noted. I'm curious too now. I'll look on the blprnt dot com blog as there may be more detail there.
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  • Mikael Shields 2 years ago
    I was co-incidentally playing the slow movement of Beethoven's 5th Piano Concerto when I ran your "Just landed" model. It made your beautiful visualisation even more moving. Thanks for the great models! :-)
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  • Shashwat Gupta 1 year ago
    Dude, where are all the cargo planes full of Made-In-China stuff flowing into the US?
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  • Feral Oink 1 year ago
    This is great! These kind of visualizations (and bigdata processing in general) are directly applicable for syndromic surveillance. It is a field of epidemiology full of promise but lacking the right tools to implement.

    Maybe it's time has finally come, with help from data, and visualizations, like this! I hope so!

    Nice videos you've done! I saw them featured in an old O'Reilley article about microformats from May 2009: radar.oreilly.com/2009/05/google-rich-snippets-semantic-web.html

    O'Reilley wrote very favorably about your work.
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