作者: Barbara Hofer , Thomas J. Lampoltshammer , Mariana Belgiu
DOI: 10.1007/978-3-319-07926-4_16
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摘要: Geolocated tweets are not evenly spread across space, but appear in accumulations. By exploring a collection of 3 months geolocated for London, this work analyses tweet hotspots and demographic characteristics the wards where these appear. The Twitter messages separated into day-time night-time to support assumption about places home users. Tweets from users with less than three posts investigated time period eliminated increase probability analysing locals rather tourists. first step analysis is identification hotspots. These wards, increased activities taking place, as population figures would suggest. subsequent deals detection patterns relationship between London’s numbers tweets. This part employs exploratory spatial data generating hypotheses an ordinary least squares regression analysis. contribution exploration representations investigating who London are.