Infer mobility patterns and social dynamics for modelling human behaviour

Luceri, Luca (December 2016). Infer mobility patterns and social dynamics for modelling human behaviour. In: IEEE International Conference on Data Mining (ICDM) 2016. Barcelona, Spain. 12-15.12.2016.

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Investigating human mobility patterns and comprehending the social dynamics that govern people movements is of high interest for multiple aspects and reasons. Location-based services, mobile network management, and urban planning are just few of the several applications that benefit from this kind of assessment. This work focuses on the stochastic analysis of spatiotemporal and social network data in order to build a human behaviour model which aims to predict social dynamics and to infer users’ mobility patterns and interests.

Item Type: Conference or Workshop Item (Paper)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
Subjects: 000 Computer science, knowledge & systems
Language: English
Submitter: Jonnahtan Eduardo Saltarin de Arco
Date Deposited: 02 Mar 2017 16:36
Last Modified: 26 May 2017 08:17
Additional Information: PhD Student UniBE, PhD Workshop
BORIS DOI: 10.7892/boris.91709
URI: http://boris.unibe.ch/id/eprint/91709

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