Just Landed - Screenshot

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    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

    ouno design, dflaiz, Scoobanomatron, and 11 other people added this photo to their favorites.

    1. magerleagues 60 months ago | reply

      Cool visualization

    2. Imgolden1 56 months ago | reply

      It seems in general this method would create a large selection bias due to the selective age group who twitters. However, for H1N1 cases these folks would be part of the high risk group, so it might work out fine. Is it possible to give some directional indicators to show point of departure and point of arrival?

    3. carminka 48 months ago | reply

      Very interesting as an artwork about data visualization. But many people are not traveling from home when they 'land', so one must not confuse this art with robust a data model. At best you might see trends. Also do you toss the data for ppl who 'just landed' at home?

      Never-the-less a wonderful artwork!

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