Spatial Extension of the Reality Mining Dataset

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00172398" target="_blank" >RIV/68407700:21230/10:00172398 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Spatial Extension of the Reality Mining Dataset
Original language description
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations with limited potential or expensive experimental studies, the research in user-mobility or spatio-temporal user behavior can be conducted on publicly available datasets such as the Reality Mining Dataset. These data have been for many years a source of valuable information about social interconnection between users and user-network associations. However, an important, spatial dimension is missing in this dataset. In this paper, we present a methodology for retrieving geographical locations matching the GSM cell identifiers in the Reality Mining Dataset, an approach base on querying the Google Location API. A statistical analysis of the measure of success of locations retrieval is provided. Further, we present the LAC-clustering method for detecting and removing outliers.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems
ISBN
978-1-4244-7489-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place of publication
New York
Event location
San Francisco, CA
Event date
Nov 8, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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