
handle: 10651/69282
La propagación de rumores y noticias falsas (fake news) puede ser analizada con modelos matemáticos similares a los usados en el estudio de epidemias. Este es el objeto de este Trabajo Fin de Grado. En primer lugar, se introducirá la terminología propia de los procesos de difusión de "fake news" y se discutirán los principales modelos. Recurriendo a la literatura de propagación de epidemias, se analizarán estos modelos desde un punto vista cualitativo. Para concluir, se simularán numéricamente dos de los más relevantes: el modelo SEIR y el modelo SEIZ.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
