A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Dealing with multiple source spatio-temporal data in urban dynamics analysis
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Engaging participants for collaborative sensing of human mobility
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
You are where you e-mail: using e-mail data to estimate international migration rates
Proceedings of the 3rd Annual ACM Web Science Conference
Studying inter-national mobility through IP geolocation
Proceedings of the sixth ACM international conference on Web search and data mining
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The authors report on the discovery of statistical regularities, mathematical laws, and universal characteristics underlying multiscale human mobility. Their study is based on the generation of proxy networks for global human travel behavior from pervasive user data collected at the world's largest bill-tracking Web site and trajectories of trackable items known as travel bugs recorded at a geocaching Web site. From this pervasive data, they extract multiscale human traffic networks for the US and European countries that cover distances of a few to a few thousand kilometers. These proxy networks permit reliable estimates of statistical features such as degree, flux, and traffic weight distributions. The authors show that despite cultural and national differences, universal properties exist in a diverse set of traffic networks, allowing important insight into the understanding of traffic-related phenomena such as the geographic spread of emergent infectious diseases and human-mediated bioinvasion.