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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
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ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Aesthetic Differentiation, Information Seeking Behavior, and Cognitive Risk

descriptionPublicationkeyboard_double_arrow_right Article 08 Jun 2023Publisher:Zenodo
Authors: Kollannur, Antony Ignatius;

doi: 10.5281/zenodo.8017458 , 10.5281/zenodo.8017457

Aesthetic Differentiation, Information Seeking Behavior, and Cognitive Risk

Abstract

The dataset includes Google Trends data for approximately 500 economic-related search terms from 2005 to 2023, listed with file title phrasings ‘Wedding’, ‘Baby’, ‘Beauty’, ‘Fitness’, ‘Behavioral/Sexual Problems’, and ‘prices’ . The file BEAUTY contains the trends data for the 16 apps. The results are labeled Analysis 1, Analysis 2 etc as per the labeling in the paper. There are two sets of PCA, one with the category variable and one without.

Keywords

Economics, Beauty, Product Differentiation, Cognitive Science, Aesthetics, Aestheticism, Behavioral Economics

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selected citations
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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.
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!
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