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Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often been analyzed independently from each other using mobile phone datasets. In this article, we explore the connections between various features of human behavior extracted from a large mobile phone dataset. Our observations are based on the analysis of communication data of 100000 anonymized and randomly chosen individuals in a dataset of communications in Portugal. We show that clustering and principal component analysis allow for a significant dimension reduction with limited loss of information. The most important features are related to geographical location. In particular, we observe that most people spend most of their time at only a few locations. With the help of clustering methods, we then robustly identify home and office locations and compare the results with official census data. Finally, we analyze the geographic spread of users' frequent locations and show that commuting distances can be reasonably well explained by a gravity model., Comment: 16 pages, 12 figures

Communication mediated by various technologies (from ordinary mail to today's Information and Communication Technologies (ICT)) provides important evidence for the study of social networks. Given that networks generate the possibility of interpersonal communication, data on technology use can provide important information on sociability. However, it is also true that personal networks not only shape, but also are shaped by technological means for communication, since these entail the re-constituting of social ties and the re-drawing of social boundaries. We use material from empirical studies carried out over the last 3 years to develop our hypothesis of the way forms of relationship change with technology. In particular, we try to understand the relationship between social networks (a set of social ties possessing one or more relational dimensions), exchanges between actors (made up of a succession of embodied gestures and language acts) and the various technical means for communication available today, which enable an exchange to be completed. Each of these three poles poses constraints on interaction, and provides resources for it, and thus all three shape the form relational practices take. Empirical data show how technological means of communication allow people to re-negotiate the constraints of individual time rhythms, and of who one communicates with. They also illustrate how the relational economy (and power) is affected by the deployment of communication technologies. Tools of communication provide new resources to negotiate individual timetables and social exchanges, making it possible to adjust roles, hierarchies and forms of power in relational economies. We argue that the general change observed over the last 20 years is from established roles to mutual reachability. The traditional communication model, where tele-communication is used to connect people who are physically separated from each other, is gradually being supplanted with a new pattern of “connected presence”. In this new mode other people are telephoned, “SMSed”, seen and mailed in alternated way and small gestures or signs of attention are at least as important as the message content itself.