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Descripción
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| Viral marketing, marketing techniques that use pre-existing social networks, has experienced a significant encouragement in the last years. In this scope, Twitter is the most studied social network in viral marketing and the rumor spread is a widely researched problem. This paper contributes with a (1) novel agent-based social simulation model for rumors spread in Twitter. This model relies on the hypothesis that (2) when a user is recovered, this user will not influence his or her neighbors in the social network to recover. To support this hypothesis: (3) two Twitter rumor datasets are studied; (4) a baseline model which does not include the hypothesis is revised, reproduced, and implemented; (5) and a number of experiments are conducted comparing the real data with the two models results. | |
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Internacional
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Si |
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Nombre congreso
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6th International Workshop on Modeling Social Media - Behavioral Analytics in Social Media, Big Data and the Web; co-located with the 24th International World Wide Web Conference |
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Tipo de participación
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970 |
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Lugar del congreso
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Florencia |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4503-3469-3 |
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DOI
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978-1-4503-3469-3/15/05 |
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Fecha inicio congreso
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18/05/2015 |
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Fecha fin congreso
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22/05/2015 |
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Desde la página
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811 |
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Hasta la página
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814 |
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Título de las actas
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Compilation of the WWW 2015 Conference Proceedings |