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Authors: Katarina Gavrić 1 ; Dubravko Ćulibrk 1 and Vladimir Crnojević 2

Affiliations: 1 Dept. of Industrial Engineering and Management, Serbia ; 2 Faculty of Technical Sciences, Serbia

ISBN: 978-989-8565-41-9

Keyword(s): Human Mobility, Flickr, Multimedia, Geo – Referenced, Community – Contributed Data.

Related Ontology Subjects/Areas/Topics: Applications ; Learning of Action Patterns ; Pattern Recognition ; Software Engineering ; Web Applications

Abstract: In recent years, geo-referenced community-contributed multimedia data that is available from services such as Flickr/YouTube, has been used to help understand patterns of human mobility, behavior and habits. While this data is freely available for much larger regions of the world, it is understood that the quality of such data is lower than that of data that can be obtained from mobile phone operators. This is probably the reason why public data has not been considered for studies attempting to identify basic laws that govern human mobility. In this study we explore the possibility of using Flickr data as an alternative to mobile-phone-generated data when it comes to analyzing human mobility. To do this, we apply a recently published approach to analysis of mobile phone data to the trajectories of 6404 Fickr users, derived from a dataset of 1 million images pertinent to the San Francisco/San Diego area. Our goal is to show that regularities that can be observed using mobile phone data are present in the Flickr data and that the publicly available data has the potential to enable researchers to conduct similar analysis at larger (continent/world wide) scales, with possible applications to urban planning, traffic forecasting and the spread of biological and mobile-phone viruses. The results presented show that Flickr data is suitable for such studies, and can be used as an alternative to proprietary mobile-phone-use related data. (More)

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Paper citation in several formats:
Gavrić, K.; Ćulibrk, D. and Crnojević, V. (2013). Deriving Basic Law of Human Mobility using Community - Contributed Multimedia Data.In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 543-546. DOI: 10.5220/0004256405430546

@conference{icpram13,
author={Katarina Gavrić. and Dubravko Ćulibrk. and Vladimir Crnojević.},
title={Deriving Basic Law of Human Mobility using Community - Contributed Multimedia Data},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={543-546},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004256405430546},
isbn={978-989-8565-41-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Deriving Basic Law of Human Mobility using Community - Contributed Multimedia Data
SN - 978-989-8565-41-9
AU - Gavrić, K.
AU - Ćulibrk, D.
AU - Crnojević, V.
PY - 2013
SP - 543
EP - 546
DO - 10.5220/0004256405430546

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