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The ability to quantify the level of regularity in an individual's patterns of visiting a particular location provides valuable context in many areas, such as urban planning, reality mining, and opportunistic networks. However, in many cases, visit data is only available as zero-duration events, precluding the application of methods that require continuous, densely-sampled data. To address this, our...
In opportunistic networks, mobile nodes such as mobile phones and PDAs use the mobility of devices in addition to wireless forwarding between intermediate nodes to facilitate communication without requiring a simultaneous path between source and destination.Without guaranteed connectivity, the strategy for forwarding messages has a significant effect on system performance. Most of the existing research...
Location-sharing services such as Foursquare provide a rich source of information about the visits of users to locations. In the case of Foursquare, users voluntarily ‘check in’ to places they visit using a mobile application. An analysis of these data may reveal differences in users personality in terms of their mobility habits, preferred places, and action and location patterns. This knowledge about...
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