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We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months. We demonstrate the ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially(More)
We present txteagle, a system that enables people to earn small amounts of money by completing simple tasks on their mobile phone for corporations who pay them in either airtime or MPESA (mobile money). The system is currently being launched in Kenya and Rwanda in collaboration with the mobile phone service providers Safaricom and MTN Rwanda. Tasks include(More)
The majority of humans today carry mobile telephones. These phones automatically capture behavioral data from virtually every human society, stored in service provider databases around the world. This article discusses the different types of data captured and how they can be used to provide insight into human cultures. Examples are provided from a variety(More)
Over one billion people live in the world's 200,000 slums and informal settlements. We used data generated from mobile phones to better understand one of the largest slums, Kibera located in Nairobi, Kenya. Using call logs from June 2008-June 2009 and theories from human geography, economics, sociology, journalists , and anthropologists as a basis, we(More)
—We present a comparative analysis of the behav-ioral dynamics of rural and urban societies using four years of mobile phone data from all 1.4M subscribers within a small country. We use information from communication logs and top up denominations to characterize attributes such as socioeconomic status and region. We show that rural and urban communities(More)
We describe how new sources of data can be used to better understand the demographic structure of the population of Rwandan mobile phone users. After combining anonymous call data records with follow-up phone interviews, we detect significant differences in phone usage among different social and economic subgroups of the population. However, initial(More)
We explore the prospect of inferring the epicenter and influences of seismic activity from changes in background phone communication activities logged at cell towers. In particular, we explore the perturbations in Rwandan call data invoked by an earthquake in February 2008 centered in the Lac Kivu region of the Democratic Republic of the Congo. Beyond the(More)
This paper presents an analysis of continuous cellular tower data representing five months of movement from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of existing community detection methodologies to identify salient locations based on the network generated by tower transitions. The tower groupings from these(More)