2013 IEEE 13th International Conference on Data Mining Workshops (2012)
Brussels, Belgium Belgium
Dec. 10, 2012 to Dec. 10, 2012
Although research in the areas of human mobility and social networks is extensive, our knowledge of the relationship between the mobility and the social network of an individual is very limited, mainly due to the complexity of accessing adequate data to be able to capture both mobility and social interactions. In this paper we present and characterize some of the spatio-temporal features of social networks extracted from a large-scale dataset of cell phone records. Our goal is to measure to which extent individual mobility shapes the characteristics of a social network. Our results show a nontrivial dependence between social network structure and the spatial distribution of its elements. Additionally, we quantify with detail the probability of a contact to be at a certain distance, and find that it may be described in the framework of gravity models, with different decaying rates for urban and interurban scales.
Social network services, Cellular phones, Probability distribution, Poles and towers, Humans, Gravity, Cities and towns, Gravity Model, Human Mobility, Social Networks, CDR
Luis G. Moyano, Oscar R. Moll Thomae, Enrique Frias-Martinez, "Uncovering the Spatio-temporal Structure of Social Networks Using Cell Phone Records", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 242-249, 2012, doi:10.1109/ICDMW.2012.132