Planet-scale human mobility measurement
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Research into, and design and construction of mobile systems and algorithms requires access to large-scale mobility data. Unfortunately, the research community lacks such data. For instance, the largest available human contact traces contain only 100 nodes with very sparse connectivity, limited by experimental logistics. In this paper we pose a challenge to the community: how can we collect mobility data from billions of human participants? We re-assert the importance of large-scale datasets in communication network design, and claim that this could impact fundamental studies in other academic disciplines. In effect, we argue that planet-scale mobility measurements can help to save the world. For example, through understanding large-scale human mobility, we can track and model and contain the spread of epidemics of various kinds.
Hui , P , Mortier , R , Piorkowski , M , Henderson , T N H & Crowcroft , J 2010 , ' Planet-scale human mobility measurement ' . in Proceedings of the Second ACM International Workshop on Hot Topics in Planet-Scale Measurement (HotPlanet) . ACM , New York , 8th Annual International Conference on Mobile Systems, Applications and Services , San Francisco, CA , United States , 15-18 June . , 10.1145/1834616.1834618conference
Proceedings of the Second ACM International Workshop on Hot Topics in Planet-Scale Measurement (HotPlanet)
© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the Second ACM International Workshop on Hot Topics in Planet-Scale Measurement (HotPlanet) http://dx.doi.org/10.1145/1834616.1834618
Workshop held as part of the 8th Annual International Conference on Mobile Systems, Applications and Services (MobiSys 2010)
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