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      Geo-located Twitter as proxy for global mobility patterns

      , , ,   , ,

      Cartography and Geographic Information Science

      Informa UK Limited

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          Most cited references 28

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          Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.

           S Golder,  M Macy (2011)
          We identified individual-level diurnal and seasonal mood rhythms in cultures across the globe, using data from millions of public Twitter messages. We found that individuals awaken in a good mood that deteriorates as the day progresses--which is consistent with the effects of sleep and circadian rhythm--and that seasonal change in baseline positive affect varies with change in daylength. People are happier on weekends, but the morning peak in positive affect is delayed by 2 hours, which suggests that people awaken later on weekends.
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            Earthquake shakes Twitter users

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              A universal model for mobility and migration patterns.

              Introduced in its contemporary form in 1946 (ref. 1), but with roots that go back to the eighteenth century, the gravity law is the prevailing framework with which to predict population movement, cargo shipping volume and inter-city phone calls, as well as bilateral trade flows between nations. Despite its widespread use, it relies on adjustable parameters that vary from region to region and suffers from known analytic inconsistencies. Here we introduce a stochastic process capturing local mobility decisions that helps us analytically derive commuting and mobility fluxes that require as input only information on the population distribution. The resulting radiation model predicts mobility patterns in good agreement with mobility and transport patterns observed in a wide range of phenomena, from long-term migration patterns to communication volume between different regions. Given its parameter-free nature, the model can be applied in areas where we lack previous mobility measurements, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes.
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                Author and article information

                Journal
                Cartography and Geographic Information Science
                Cartography and Geographic Information Science
                Informa UK Limited
                1523-0406
                1545-0465
                March 07 2014
                May 27 2014
                February 26 2014
                May 27 2014
                : 41
                : 3
                : 260-271
                Article
                10.1080/15230406.2014.890072
                27019645
                © 2014

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