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Descripción
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| Serendipity is defined as fortunate discoveries made by chance. In this work we explore the idea that topological and dynamical measures of a person?s telephone interaction networks could be an indicator about how likely that person is to experience fortunate discoveries. In order to study this phenomenon, a data-set rich in users contextual data was used. We analyse the data obtained in the Reality Mining project at MIT. The data included call logs and nearby Bluetooth devices corresponding to 350000 hours of human behaviour recorded during a nine month period. In that data-set, social network evolution in time can also be observed throughout this period of time. | |
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Internacional
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Si |
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Nombre congreso
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9th AIMS (American Institute of Mathematical Sciences) Conference Dynamical Systems, Differential Equations and Applications [http://www.aimsciences.org/conferences/2012/] |
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Tipo de participación
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960 |
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Lugar del congreso
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Orlando, Florida, USA |
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Revisores
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Si |
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ISBN o ISSN
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00-000-000-000-00 |
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DOI
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Fecha inicio congreso
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01/07/2012 |
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Fecha fin congreso
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05/07/2012 |
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Desde la página
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224 |
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Hasta la página
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224 |
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Título de las actas
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9th AIMS (American Institute of Mathematical Sciences) Conference Dynamical Systems, Differential Equations and Applications [http://www.aimsciences.org/conferences/2012/abstracts.pdf] |