Literature DB >> 35637298

Measuring frequency-dependent selection in culture.

Mitchell G Newberry1,2, Joshua B Plotkin3.   

Abstract

The frequency of a cultural trait can influence its tendency to be copied. We develop a maximum-likelihood method to measure such frequency-dependent selection from time series data, and we apply it to baby names and purebred dog preferences over the past century. The form of negative frequency dependence we infer among names explains their diversity patterns, and it replicates across the United States, France, Norway and the Netherlands. We find different growth rates for male versus female names, attributable to different rates of innovation, whereas biblical names enjoy a genuine selective advantage at all frequencies, which explains their predominance among top names. We show how frequency dependence emerges from a host of underlying selective mechanisms, including a preference for novelty that recapitulates boom-bust fads among dog owners. Our analysis of cultural evolution through frequency-dependent selection provides a quantitative account of social pressures to conform or to be different.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35637298     DOI: 10.1038/s41562-022-01342-6

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  31 in total

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Review 2.  From the primordial soup to self-driving cars: standards and their role in natural and technological innovation.

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3.  Frequency of word-use predicts rates of lexical evolution throughout Indo-European history.

Authors:  Mark Pagel; Quentin D Atkinson; Andrew Meade
Journal:  Nature       Date:  2007-10-11       Impact factor: 49.962

4.  Quantifying the evolutionary dynamics of language.

Authors:  Erez Lieberman; Jean-Baptiste Michel; Joe Jackson; Tina Tang; Martin A Nowak
Journal:  Nature       Date:  2007-10-11       Impact factor: 49.962

5.  Dominant words rise to the top by positive frequency-dependent selection.

Authors:  Mark Pagel; Mark Beaumont; Andrew Meade; Annemarie Verkerk; Andreea Calude
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-21       Impact factor: 11.205

6.  EFFECTIVE DEME SIZES DURING LONG-TERM EVOLUTION ESTIMATED FROM RATES OF CHROMOSOMAL REARRANGEMENT.

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Journal:  Evolution       Date:  1979-03       Impact factor: 3.694

7.  A non-equilibrium neutral model for analysing cultural change.

Authors:  Anne Kandler; Stephen Shennan
Journal:  J Theor Biol       Date:  2013-03-26       Impact factor: 2.691

8.  Detecting evolutionary forces in language change.

Authors:  Mitchell G Newberry; Christopher A Ahern; Robin Clark; Joshua B Plotkin
Journal:  Nature       Date:  2017-11-01       Impact factor: 49.962

Review 9.  Conditions for the evolution of altruism under Darwinian selection.

Authors:  C Matessi; S D Jayakar
Journal:  Theor Popul Biol       Date:  1976-06       Impact factor: 1.570

10.  Fashion vs. function in cultural evolution: the case of dog breed popularity.

Authors:  Stefano Ghirlanda; Alberto Acerbi; Harold Herzog; James A Serpell
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

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