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The Logic of Fashion Cycles

Overview of attention for article published in PLOS ONE, March 2012
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Title
The Logic of Fashion Cycles
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032541
Pubmed ID
Authors

Alberto Acerbi, Stefano Ghirlanda, Magnus Enquist

Abstract

Many cultural traits exhibit volatile dynamics, commonly dubbed fashions or fads. Here we show that realistic fashion-like dynamics emerge spontaneously if individuals can copy others' preferences for cultural traits as well as traits themselves. We demonstrate this dynamics in simple mathematical models of the diffusion, and subsequent abandonment, of a single cultural trait which individuals may or may not prefer. We then simulate the coevolution between many cultural traits and the associated preferences, reproducing power-law frequency distributions of cultural traits (most traits are adopted by few individuals for a short time, and very few by many for a long time), as well as correlations between the rate of increase and the rate of decrease of traits (traits that increase rapidly in popularity are also abandoned quickly and vice versa). We also establish that alternative theories, that fashions result from individuals signaling their social status, or from individuals randomly copying each other, do not satisfactorily reproduce these empirical observations.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 3 3%
Brazil 2 2%
Germany 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Luxembourg 1 <1%
Unknown 95 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 17 16%
Student > Bachelor 15 14%
Student > Master 15 14%
Professor > Associate Professor 8 7%
Other 19 18%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 16%
Business, Management and Accounting 11 10%
Psychology 11 10%
Social Sciences 8 7%
Design 8 7%
Other 35 32%
Unknown 18 17%