Deriving Basic Law of Human Mobility using Community - Contributed Multimedia Data

Katarina Gavrić, Dubravko Ćulibrk, Vladimir Crnojević

2013

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.

References

  1. Gonzalez, M., Hidalgo, C., Barabasi, A. L., 2008. Understanding individual human mobility patterns. Nature, vol. 453, pp. 779-782.
  2. Wang, P., Gonzalez, M., Hidalgo, C., Barabasi, L., 2009. Understanding the spreading patterns of mobile phone users. Science, vol. 324, pp. 1071-1076.
  3. Mirkovic, M., Culibrk, D., Papadopoulos, S., et al., 2011. A comparative study of spatial, temporal and contentbased patterns emerging in YouTube/Flickr, 3rd International Conference on Computational Aspects of Social Networks (CaSoN), pp. 189-194.
  4. Andrienko, G., Andrienko N., Rinzivillo, S., Nanni, M., Pedreschi, D., 2009. Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data, Springer, pp. 432-435.
  5. Redner, A., 2001. A guide to first-passage process, Cambridge University Press, Cambridge.
  6. Barabasi, A. L., 2005. The origin of burst and heavy tails in human dynamics. Nature, vol. 432, pp. 207-211.
  7. Havlin, S., Ben-Avraham, D., 2002. Diffusion in disorder media, Physics, vol. 51, pp. 187-292.
  8. Edwards, A. M., Phillips R. A., Watkins, N. W., et al., 2007. Revisiting Lévy flight search patterns of wandering albatrosses, bumblebees and deer, Nature, vol. 449, pp. 1044-1049.
  9. Righton, D. W., Pirchford, J. W., 2007. Minimizing errors in identifying Lévy flight behavior of organisms. Journal of Animal Ecology, vol. 76, pp. 222-229.
Download


Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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