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      Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data

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      PLoS ONE
      Public Library of Science

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          Abstract

          A relationship between people’s mobility and their social networks is presented based on an analysis of calling and mobility traces for one year of anonymized call detail records of over one million mobile phone users in Portugal. We find that about 80% of places visited are within just 20km of their nearest (geographical) social ties’ locations. This figure rises to 90% at a ‘geo-social radius’ of 45km. In terms of their travel scope, people are geographically closer to their weak ties than strong ties. Specifically, they are 15% more likely to be at some distance away from their weak ties than strong ties. The likelihood of being at some distance from social ties increases with the population density, and the rates of increase are higher for shorter geo-social radii. In addition, we find that area population density is indicative of geo-social radius where denser areas imply shorter radii. For example, in urban areas such as Lisbon and Porto, the geo-social radius is approximately 7km and this increases to approximately 15km for less densely populated areas such as Parades and Santa Maria da Feira.

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          Most cited references12

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          Modelling disease outbreaks in realistic urban social networks.

          Most mathematical models for the spread of disease use differential equations based on uniform mixing assumptions or ad hoc models for the contact process. Here we explore the use of dynamic bipartite graphs to model the physical contact patterns that result from movements of individuals between specific locations. The graphs are generated by large-scale individual-based urban traffic simulations built on actual census, land-use and population-mobility data. We find that the contact network among people is a strongly connected small-world-like graph with a well-defined scale for the degree distribution. However, the locations graph is scale-free, which allows highly efficient outbreak detection by placing sensors in the hubs of the locations network. Within this large-scale simulation framework, we then analyse the relative merits of several proposed mitigation strategies for smallpox spread. Our results suggest that outbreaks can be contained by a strategy of targeted vaccination combined with early detection without resorting to mass vaccination of a population.
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            Geographic Constraints on Social Network Groups

            Social groups are fundamental building blocks of human societies. While our social interactions have always been constrained by geography, it has been impossible, due to practical difficulties, to evaluate the nature of this restriction on social group structure. We construct a social network of individuals whose most frequent geographical locations are also known. We also classify the individuals into groups according to a community detection algorithm. We study the variation of geographical span for social groups of varying sizes, and explore the relationship between topological positions and geographic positions of their members. We find that small social groups are geographically very tight, but become much more clumped when the group size exceeds about 30 members. Also, we find no correlation between the topological positions and geographic positions of individuals within network communities. These results suggest that spreading processes face distinct structural and spatial constraints.
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              Understanding the spreading patterns of mobile phone viruses.

              Pu Wang (2009)
              We modeled the mobility of mobile phone users in order to study the fundamental spreading patterns that characterize a mobile virus outbreak. We find that although Bluetooth viruses can reach all susceptible handsets with time, they spread slowly because of human mobility, offering ample opportunities to deploy antiviral software. In contrast, viruses using multimedia messaging services could infect all users in hours, but currently a phase transition on the underlying call graph limits them to only a small fraction of the susceptible users. These results explain the lack of a major mobile virus breakout so far and predict that once a mobile operating system's market share reaches the phase transition point, viruses will pose a serious threat to mobile communications.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                28 June 2012
                : 7
                : 6
                : e39253
                Affiliations
                [1 ]Culture Lab, School of Computing Science, Newcastle University, United Kingdom
                [2 ]Sociology and Economics of Networks and Services Department, Orange Labs, Issy-les-Moulineaux, France
                University of Zaragoza, Spain
                Author notes

                Conceived and designed the experiments: SP ZS PO. Performed the experiments: SP. Analyzed the data: SP ZS PO. Contributed reagents/materials/analysis tools: ZS PO. Wrote the paper: SP ZS PO. Provided the dataset: ZS. Analyzed the data: SP. Provided computational tools: PO. Lead the research: SP. Provided comments and suggestions: ZS PO.

                Article
                PONE-D-11-22741
                10.1371/journal.pone.0039253
                3386290
                22761748
                ded66585-7cbf-4076-8168-9d600f9c1250
                Phithakkitnukoon et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 10 November 2011
                : 22 May 2012
                Page count
                Pages: 9
                Categories
                Research Article
                Computer Science
                Computing Methods
                Cloud Computing
                Social and Behavioral Sciences
                Communications
                Semantics
                Geography
                Human Geography
                Behavioral Geography
                Social Geography
                Sociology
                Computational Sociology
                Social Mobility
                Social Networks
                Sociometry

                Uncategorized
                Uncategorized

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