Social Success of Perfumes
We study data on perfumes and their odour descriptors - notes - to understand how note compositions, called accords, influence successful fragrance formulas. We obtain accords which tend to be present in perfumes that receive significantly more customer ratings. Our findings show that the most popular notes and the most over-represented accords are different to those that have the strongest effect to the perfume ratings. We also used network centrality to understand which notes have the highest potential to enhance note compositions. We find that large degree notes, such as musk and vanilla as well as generically-named notes, e.g. floral notes, are amongst the notes that enhance accords the most. This work presents a framework which would be a timely tool for perfumers to explore a multidimensional space of scent compositions.
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Vaiva Vasiliauskaite (edit)
Tim S. Evans (edit)
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09/12/19 06:02PM
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aCimarron: Social Success of Perfumes. (arXiv:1909.05726v1 [physics.soc-ph]) https://t.co/GHPVjlPwv2
alexvespi: Social Success of Perfumes “network centrality to understand which notes have the highest potential to enhance note compositions” https://t.co/RtniAM4ZGf https://t.co/eVXqG1C8cm
Mike_Banks: A statistical analysis of perfume notes: https://t.co/p6UJeFOuO3 #arXiv "Jasmine/Mint and Musk/Vetiver/Vanilla have a large positive effect on perfume ratings"
DynamicsSIAM: "Social Success of Perfumes" (by Vaiva Vasiliauskaite, Tim S. Evans): https://t.co/Pn3BF70gwS "We study data on perfumes and their odour descriptors - notes - to understand how note compositions, called accords, influence successful fragrance formulas." Uses network centrality
net_science: Social Success of Perfumes. (arXiv:1909.05726v1 [physics.soc-ph]) https://t.co/qbSO5eJvvn
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