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Modelos en redes sociales

Authors: Andrés Manzano, Mónica;

Modelos en redes sociales

Abstract

Las redes sociales constituyen una parte de nuestra sociedad, entenderlas puede ayudar a mejorar ciertos procesos y optimizar resultados desde un punto de vista de transmisión de información, económico o social, ya que estas a su vez están compuestas de diferentes comunidades. El presente trabajo se centra en grafos generados aleatoriamente y no dirigidos, analizando las principales características: agrupamiento, asortatividad, medidas centrales, comunidades, etc. Además de cálculos analíticos, el trabajo se presenta con diferentes gráficos que permiten visualizar y comprender mejor los resultados, también se contrasta con diferentes conjuntos de datos.

Keywords

Centralidad, Assortativity, Comunidad, 12 Matemáticas, Clique, Asortatividad, Agrupamiento, Community, Social networks, Graph, Clustering, Optimización matemática, Investigación operativa (Matemáticas), Análisis matemático, Conexo, Centrality, Redes sociales, Grafo, 519.711.7, Connected

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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