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    Proc Natl Acad Sci U S A. 2009 Sep 8;106(36):15274-8. Epub 2009 Aug 17.

    Inferring friendship network structure by using mobile phone data.

    Eagle N, Pentland AS, Lazer D.

    Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA. nathan@mit.edu

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    Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standard self-report survey data. We find that the information from these two data sources is overlapping but distinct. For example, self-reports of physical proximity deviate from mobile phone records depending on the recency and salience of the interactions. We also demonstrate that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns. These behavioral patterns, in turn, allow the prediction of individual-level outcomes such as job satisfaction.

    PMID: 19706491 [PubMed - in process]

    PMCID: 2741241

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