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It is well known that people movement exhibits a high degree of repetition since people visit regular places and make regular contacts for their daily activities. This paper1 presents a novel framework named Jyotish,2 which constructs a predictive model by exploiting the regularity of people movement found in the real joint Wifi/Bluetooth trace. The constructed model is able to answer three fundamental questions: (1) where the person will stay, (2) how long she will stay at the location, and (3) who she will meet.

In order to construct the predictive model, Jyotish includes an efficient clustering algorithm to cluster Wifi access point information in the Wifi trace into locations. Then, we construct a Naive Bayesian classifier to assign these locations to records in the Bluetooth trace and obtain a fine granularity of people movement. Next, the fine grain movement trace is used to construct the predictive model including location predictor, stay duration predictor, and contact predictor to provide answers for three questions above. Finally, we evaluate the constructed predictive model over the real Wifi/Bluetooth trace collected by 50 participants in University of Illinois campus from March to August 2010. Evaluation results show that Jyotish successfully constructs a predictive model, which provides a considerably high prediction accuracy of people movement.

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Plotted onto a map, the results throw up surprises. First, less than 10 per cent of the world's land is more than 48 hours of ground-based travel from the nearest city. What's more, many areas considered remote and inaccessible are not as far from civilisation as you might think. In the Amazon, for example, extensive river networks and an increasing number of roads mean that only 20 per cent of the land is more than two days from a city - around the same proportion as Canada's Quebec province.

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Very little of the world's land can now be thought of as inaccessible, according to a new map of connectedness.

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As a nation, the United States is often portrayed as restless and rootless. Census data, though, indicate that Americans are settling down. Only 11.9% of Americans changed residences between 2007 and 2008, the smallest share since the government began tracking this trend in the late 1940s.

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I'm not saying I didn't work hard. But as I look back, my major feeling, after teaching for years as an adjunct and working 80-hour weeks in real estate, is great satisfaction in having any job at all in philosophy. Because for many years, I never expected to get one — and even after I did, I kept looking over my shoulder at the shadow of what might have been.

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location social-networking maps event-tracking import-delicious

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Web based software for social networking based on location.

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