Geography Reference
In-Depth Information
centres across London. These activity centres should be analysed from
different points of view than socio-demographic characteristics as well. For
future work we suggest an analysis of the relationship between tweet counts
and proxies for activity levels like tourist attractions, bars and stadiums.
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).
References
Abrol S, Khan L (2010) TWinner: understanding news queries with geo-content using Twitter. In:
6th workshop on geographic information retrieval (GIR
'
10), 8. ACM, New York
Adnan M, Longley P (2013) Analysis of Twitter usage in London, Paris, and New York City. In:
16th AGILE international conference on geographic information science, Leuven, May 14-17,
2013, pp 1-7
Adnan M, Lansley G, Longley PA (2013) Twitter geodemographic analysis of ethnicity and
identity in Greater London. In: 12th international conference on geocomputation, LIESMARS.
Wuhan University, China
Bawa-Cavia A (2011) Sensing the urban: using location-based social network data in urban
analysis. In: the 1st workshop on pervasive urban applications PURBA
'
11, San Francisco
Boyd D, Crawford K (2012) Critical questions for big data: provocations for a cultural, techno-
logical, and scholarly phenomenon. Inf Commun Soc 15:662-679
Craglia M, Ostermann F, Spinsanti L (2012) Digital Earth from vision to practice: making sense of
citizen-generated content. Int J Digital Earth 5:398-416
Crooks A, Croitoru A, Stefanidis A, Radzikowski J (2013) #Earthquake: Twitter as a distributed
sensor system. Trans GIS 17:124-147
De Longueville B, Smith RS, Luraschi G (2009) OMG, from here, I can see the flames!: a use case
of mining location based social networks to acquire spatio-temporal data on forest fires. In:
Proceedings of the 2009 international workshop on location based social networks, pp 73-80
Huberman B, Romero D, Wu F (2008) Social networks that matter: Twitter under the microscope.
First Monday [S.l.]. doi:
10.5210/fm.v14i1.2317
. Available at:
http://firstmonday.org/ojs/
index.php/fm/article/view/2317/2063
.
Accessed 13 Oct 2014
Hwang Y, Park N (2013) Digital divide in social networking sites. Int J Mobile Commun 11:446-
464
Kouloumpis E, Wilson T, Moore J (2011) Twitter sentiment analysis: the good the bad and the
OMG! In: ICWSM Fifth International AAAI Conference on Weblogs and Social Media, 17-21
July 2011, Barcelona, Spain
Kulshrestha J, Kooti F, Nikravesh A, Gummadi PK (2012) Geographic dissection of the Twitter
network. In: ICWSM Sixth International AAAI Conference on Weblogs and Social Media,
June 2012, Dublin, Ireland
Mediabistro (2012) Revealed: the top 20 countries and cities of Twitter [STATS].
http://www.
mediabistro.com/alltwitter/twitter-top-countries_b26726
.
Last accessed on 13 Oct 2014
Mislove A, Lehmann S, Ahn Y-Y, Onnela J-P, Rosenquist JN (2011) Understanding the demo-
graphics of Twitter users. In: ICWSM Fifth International AAAI Conference on Weblogs and
Social Media, 17-21 July 2011, Barcelona, Spain
