Sibren Isaacman

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People spend most of their time at a few key locations, such as home and work. Being able to identify how the movements of people cluster around these “important places” is crucial for a range of technology and policy decisions in areas such as telecommunications and transportation infrastructure deployment. In this paper, we propose new techniques based on(More)
Models of human mobility have broad applicability in fields such as mobile computing, urban planning, and ecology. This paper proposes and evaluates <i>WHERE</i>, a novel approach to modeling how large populations move within different metropolitan areas. WHERE takes as input spatial and temporal probability distributions drawn from empirical data, such as(More)
An improved understanding of human mobility patterns would yield insights into a variety of important societal issues such as the environmental impact of daily commutes. Location information from cellular wireless networks has great potential as a tool for studying these patterns. In this work, we use anonymous and aggregate statistics of the approximate(More)
In a world becoming ever more reliant on the power of information, bringing data connectivity into developing regions is becoming an important way to lift these regions out of poverty by educating and informing the population. Although many of these regions are not likely to receive the infrastructure to support fully wired (or even wireless) networks,(More)
Models of human mobility have broad applicability in urban planning, ecology, epidemiology, and other fields. Starting with Call Detail Records (CDRs) from a cellular telephone network that have gone through a straightforward anonymization procedure, the prior WHERE modeling approach produces synthetic CDRs for a synthetic population. The accuracy of WHERE(More)
The advent of ubiquitous, mobile, personal devices creates an unprecedented opportunity to improve our understanding of human movement. In this work, we study human mobility in Los Angeles and New York by analyzing anonymous records of approximate locations of cell phones belonging to residents of those cities. We examine two data sets gathered six months(More)
As information technology supports more aspects of modern life, digital access has become an important tool for developing regions to lift themselves from poverty. Though broadband internet connectivity will not be universally available in the short-term, widely-employed mobile devices coupled with novel delay-tolerant networking do allow limited forms of(More)
Recommender systems predict user preferences based on a range of available information. For systems in which users generate streams of content (<i>e.g.,</i> blogs, periodically-updated newsfeeds), users may rate the produced content that they read, and be given accurate predictions about future content they are most likely to prefer. We design a distributed(More)
Information exchange is one of the most crucial elements of education and business in the modern world. Therefore, equipping developing regions with access to the internet is becoming increasingly important. Though many regions will not receive broadband, wired connections in the near future, limited connectivity is rapidly become available. The(More)