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Descripción
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| tUnderstanding the collective reaction to individual actions is key to effectively spread information insocial media. In this work we define efficiency on Twitter, as the ratio between the emergent spreadingprocess and the activity employed by the user. We characterize this property by means of a quantitativeanalysis of the structural and dynamical patterns emergent from human interactions, and show it tobe universal across several Twitter conversations. We found that some influential users efficiently causeremarkable collective reactions by each message sent, while the majority of users must employ extremelylarger efforts to reach similar effects. Next we propose a model that reproduces the retweet cascadesoccurring on Twitter to explain the emergent distribution of the user efficiency. The model shows thatthe dynamical patterns of the conversations are strongly conditioned by the topology of the underlyingnetwork. We conclude that the appearance of a small fraction of extremely efficient users results fromthe heterogeneity of the followers network and independently of the individual user behavior. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Social Networks |
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ISSN
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0378-8733 |
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Factor de impacto JCR
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2,138 |
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Información de impacto
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Volumen
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39 |
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DOI
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10.1016/j.socnet.2014.03.007 |
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Número de revista
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Desde la página
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1 |
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Hasta la página
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11 |
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Mes
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OCTUBRE |
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Ranking
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