  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.
