TY - GEN
T1 - Demography of Twitter Users in the City of London: An Exploratory Spatial Data Analysis Approach
AU - Hofer, B.
AU - Lampoltshammer, T.J.
AU - Belgiu, M.
N1 - Conference code: 195729
Cited By :10
Export Date: 14 December 2023
Correspondence Address: Hofer, B.; Department of Geoinformatics – Z_GIS, Hellbrunnerstraße 34, Austria; email: [email protected]
Funding details: DK W 1237-N23
Funding details: Austrian Science Fund, FWF
Funding details: Laurea University of Applied Sciences
Funding text 1: Acknowledgments The authors would like to thank two anonymous reviewers for their helpful comments. Thomas Lampoltshammer is funded by the Austrian Science Fund (FWF) and the Salzburg University of Applied Sciences through the Doctoral College GIScience (DK W 1237-N23).
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PY - 2015
Y1 - 2015
N2 - Geolocated tweets are not evenly spread across space, but appear in accumulations. By exploring a collection of 3 months of geolocated tweets for London, this work analyses tweet hotspots and demographic characteristics of the wards where these hotspots appear. The Twitter messages are separated into day-time and night-time tweets to support the assumption about work places and home places of Twitter users. Tweets from users with less than three posts in the investigated time period are eliminated to increase the probability of analysing locals rather than tourists. The first step in the analysis is the identification of tweet hotspots. These hotspots are wards, where increased Twitter activities are taking place, as the population figures would suggest. The subsequent step in the analysis deals with the detection of patterns in the relationship between demographic characteristics of London’s wards and the numbers of tweets. This part of the analysis employs exploratory spatial data analysis for generating hypotheses for an ordinary least squares regression analysis. The contribution of this work is the exploration of representations and analyses for investigating who Twitter users in London are. © Springer International Publishing Switzerland 2015.
AB - Geolocated tweets are not evenly spread across space, but appear in accumulations. By exploring a collection of 3 months of geolocated tweets for London, this work analyses tweet hotspots and demographic characteristics of the wards where these hotspots appear. The Twitter messages are separated into day-time and night-time tweets to support the assumption about work places and home places of Twitter users. Tweets from users with less than three posts in the investigated time period are eliminated to increase the probability of analysing locals rather than tourists. The first step in the analysis is the identification of tweet hotspots. These hotspots are wards, where increased Twitter activities are taking place, as the population figures would suggest. The subsequent step in the analysis deals with the detection of patterns in the relationship between demographic characteristics of London’s wards and the numbers of tweets. This part of the analysis employs exploratory spatial data analysis for generating hypotheses for an ordinary least squares regression analysis. The contribution of this work is the exploration of representations and analyses for investigating who Twitter users in London are. © Springer International Publishing Switzerland 2015.
KW - Demography
KW - Exploratory spatial data analysis
KW - Geolocated tweets
KW - Data handling
KW - Information analysis
KW - Maps
KW - Pattern recognition
KW - Population dynamics
KW - Population statistics
KW - Regression analysis
KW - Social networking (online)
KW - Demographic characteristics
KW - Night time
KW - Ordinary least-squares regression analysis
KW - Time-periods
KW - Work analysis
KW - Spatial variables measurement
U2 - 10.1007/978-3-319-07926-4_16
DO - 10.1007/978-3-319-07926-4_16
M3 - Conference contribution
SN - 978-3-319-07925-7
T3 - Lecture Notes in Geoinformation and Cartography
SP - 199
EP - 211
BT - Modern Trends in Cartography
PB - Springer International Publishing
T2 - International cartographic conference, CARTOCON 2014
Y2 - 25 February 2014 through 28 February 2014
ER -