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. 10.1109/ICDMW.2016.0176

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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:

Sayed Ali Marandi

Date Deposited:

02 Mar 2017 16:36

Last Modified:

12 Nov 2017 02:06

Publisher DOI:

10.1109/ICDMW.2016.0176

Additional Information:

PhD Student UniBE, PhD Workshop

BORIS DOI:

10.7892/boris.91709

URI:

https://boris.unibe.ch/id/eprint/91709

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