2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing 2011
DOI: 10.1109/passat/socialcom.2011.135
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What's Happening: Finding Spontaneous User Clusters Nearby Using Twitter

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Cited by 6 publications
(3 citation statements)
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“…whether the user is a tourist) and the surroundings (the types of venues located around the user at a given moment) [30]. Also, the works of Boetcher and Lee or Kim et al present techniques for the detection of local clusters of activity around specific topics of interest [31,32]. This development in the GKD field, from an academic perspective, has happened in parallel with the development of the data-mining field in the application-driven environment of startups and technology corporations.…”
Section: Cluster Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…whether the user is a tourist) and the surroundings (the types of venues located around the user at a given moment) [30]. Also, the works of Boetcher and Lee or Kim et al present techniques for the detection of local clusters of activity around specific topics of interest [31,32]. This development in the GKD field, from an academic perspective, has happened in parallel with the development of the data-mining field in the application-driven environment of startups and technology corporations.…”
Section: Cluster Analysismentioning
confidence: 99%
“…Currently, as the academic field matures, it is beginning to catch up with the technology side developed in the commercial world. The shift of focus towards real-time analysis [33] stresses the need to not only develop better algorithms but also develop them on top of a technological stack that allows the scaling up needed to solve the problems associated with real-or near-real-time analysis.…”
Section: Cluster Analysismentioning
confidence: 99%
“…Tweets with known location are also used by (Saravanan et al, 2013) and (Kim et al, 2013) for real-time information on the most relevant topics covered by users, by conducting a review of feelings indicating if a discussed topic is positive or negative. A methodology by which it is possible to discover the occurrence of a relevant event in a certain place, by collecting and analyzing geo-located tweets is proposed by (Kim et al, 2011).…”
Section: Introductionmentioning
confidence: 99%