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A year in Madrid as described through the analysis of geotagged Twitter data
2018
Environment and Planning B Urban Analytics and City Science
Gaining a complete picture of the activity in a city using vast data sources is challenging yet potentially very valuable. One such source of data is Twitter which generates millions of short spatio-temporally localized messages that, as a collection, have information on city regions and many forms of city activity. The quantity of data, however, necessitates summarization in a way that makes consumption by an observer efficient, accurate, and comprehensive. We present a two-step process for
doi:10.1177/2399808318764123
fatcat:5ngtuodj4raerewnrk7qik2tdy