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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2023
License: CC BY NC ND
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Modelización de la propagación de noticias falsas

Authors: Marcos González, Ángela;

Modelización de la propagación de noticias falsas

Abstract

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.

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    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).
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green