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Descripción
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| In this work, we propose a method to characterize and model the user efficiency to influence the emergence and growth of information cascades. The model we propose is based on a biased Independent Cascade Model on networks. We use this model to study the impact of different factors on the spreading process, such as the individual behavior and the underlying substratum, as well as capturing and reproducing the main properties of the user efficiency to influence. | |
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Internacional
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Si |
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Nombre congreso
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WIN: Workshop on Information in Networks [http://www.winworkshop.net] |
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Tipo de participación
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960 |
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Lugar del congreso
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New York, USA |
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Revisores
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Si |
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ISBN o ISSN
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0000-0000 |
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DOI
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Fecha inicio congreso
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04/10/2013 |
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Fecha fin congreso
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05/10/2013 |
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Desde la página
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0 |
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Hasta la página
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0 |
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Título de las actas
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The 5th Workshop on Information in Networks (WIN) [http://www.winworkshop.net/WINProgram2013.pdf] |