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Biblos-e Archivo
Bachelor thesis . 2019
Data sources: Biblos-e Archivo
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Diseño de una sistemática de análisis de posicionamiento web

Authors: González Saiz, Adrián;

Diseño de una sistemática de análisis de posicionamiento web

Abstract

Posicionar un sitio web en el gran buscador es hoy en día mucho más complicado que posicionarlo en buscadores menos desarrollados como Yandex o Bing, ya que Google ha estado actualizando su familia de algoritmos (PageRank) desde finales de los 90, a diferencia de las otras dos, mucho más recientes y con menos presupuesto. Manipular un algoritmo básico de búsqueda es ridículamente sencillo con unos mínimos conocimientos de seo onpage y seo offpage, ya que basta con crear o comprar unos cuantos enlaces en sitios web de gran reputación o repetir una gran cantidad de veces la palabra clave por la que deseamos que aparezca posicionada nuestra web y ya habremos logrado engañar al algoritmo, pero. . . ¿realmente sirve esto para manipular el algoritmo de Google hoy en día?... rotundamente no. Esta respuesta tan contundente motiva el diseño de la sistemática de análisis propuesta para aproximarnos de modo muy preciso a los principales factores de posicionamiento en el buscador de Google, los cuales obviamente no pueden ser deducidos simplemente con un par de búsquedas “a ojo”, motivo por el cual será necesario emplear técnicas de big data para “filtrar el ruido” y sacar conclusiones que nos permitan saber qué hacer para lograr una web de éxito que posiciona por gran cantidad de palabras clave en las SERPS.

Country
Spain
Related Organizations
Keywords

SEO, Informática, Google panda, Google penguin

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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.
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    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
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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