Journal
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume 5, Issue 3, Pages 265-277Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12652-012-0169-0
Keywords
Mobility models and patterns; Human mobility; Urban and environmental planning; Social dynamics
Categories
Funding
- SAPERE (Self-Aware Pervasive Service Ecosystems) project (EU FP7-FET) [256873]
- Telecom Italia
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Can we automatically identify relevant places and events happening in the city from the analysis of mobile network use? In this paper we present a methodology to discover events from human mobility patterns as recorded by mobile network usage. Experiments conducted over an extensive dataset from the main Italian telecom operator show that the proposed approach is effective and can be applied to a number of different scenarios. These results can have a strong impact on a wide range of pervasive applications ranging from location-based services to urban planning.
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