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    Twitter data taken from users "overlapping" the 25 busiest european airports in the last three years. The dataset has been built over users that … Read More
    Twitter data taken from users "overlapping" the 25 busiest european airports in the last three years. The dataset has been built over users that at least once are passing through an airport area, emitting a tweet. Read Less
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When Tweets Fly to Town
In this project I've been working with geo localised Twitter data taken from users "overlapping" the 25 busiest european airports in the last three years. The dataset has been built over users that at least once are passing through an airport area, emitting a tweet. The user is then traced in his movements back and forth in time. Here we show a dataset related to the emission of tweets within Zurich (ZRH) airport made with Neo4j and Gephi.
Twitter data have been collected by IFISC for research purposes. Thanks to LARUS for the support in the graph database procedures and management. Code and technical information about the project on my GitHub page.