2017
DOI: 10.1073/pnas.1614395114
|View full text |Cite
|
Sign up to set email alerts
|

Inferring patterns of folktale diffusion using genomic data

Abstract: We find that a model of cultural diffusion predicted by isolation-by-distance alone is not sufficient to explain the observed patterns, especially at small spatial scales (up to ∼4,000 km). We also provide an empirical approach to infer presence and impact of ethnolinguistic barriers preventing the unbiased transmission of both genetic and cultural information. After correcting for the effect of ethnolinguistic boundaries, we show that, of the alternative models that we propose, the one entailing cultural diff… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
27
0
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 44 publications
(30 citation statements)
references
References 39 publications
2
27
0
1
Order By: Relevance
“…The theoretical and empirical work of cultural evolutionary scholars that emerged from this tradition has been crucial in demonstrating that evolution occurs "Not by Genes Alone" (Richerson and Boyd, 2005). Scholars have applied theory and methods from evolutionary biology to help understand complex cultural evolutionary processes in a variety of domains including languages, folklore, archeology, religion, social structure, and politics (Mesoudi, 2011;Levinson and Gray, 2012;Whiten et al, 2012;Fuentes and Wiessner, 2016;Henrich, 2016;Bortolini et al, 2017;Turchin et al, 2018;Whitehouse et al, In press). The field has now blossomed to the extent that researchers founded a dedicated academic society: the Cultural Evolution Society (Brewer et al, 2017;Youngblood and Lahti, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The theoretical and empirical work of cultural evolutionary scholars that emerged from this tradition has been crucial in demonstrating that evolution occurs "Not by Genes Alone" (Richerson and Boyd, 2005). Scholars have applied theory and methods from evolutionary biology to help understand complex cultural evolutionary processes in a variety of domains including languages, folklore, archeology, religion, social structure, and politics (Mesoudi, 2011;Levinson and Gray, 2012;Whiten et al, 2012;Fuentes and Wiessner, 2016;Henrich, 2016;Bortolini et al, 2017;Turchin et al, 2018;Whitehouse et al, In press). The field has now blossomed to the extent that researchers founded a dedicated academic society: the Cultural Evolution Society (Brewer et al, 2017;Youngblood and Lahti, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The promise of defining archaeological cultures phylogenetically rests not only in the robustness and transparency of the approach but also in bringing archaeological and genetic approaches methodologically closer. Once, but only once, both genetic clustering and material culture clustering are defined phylogenetically, can we explore how to compare the emergent structures in those datasets and the various drift and selection forces acting to produce them, not just qualitatively but quantitatively-and such co-phylogenetic methods are available (Tehrani et al, 2010;Riede, 2009a, Bortolini et al, 2017. Note finally that Marwick and Schmidt (2019) have recently shown how the adoption of new tools is driving substantial scientific advances in archaeology.…”
Section: Computational Methods For Constructing Cultural Taxonomies: mentioning
confidence: 99%
“…The Jaccard dissimilarity matrix was also used to formally test for the amount of population structure in the data through analysis of molecular variance (AMOVA; Excoffier, Smouse, & Quattro, 1992) following other applications of the method on cultural datasets (Bortolini et al, 2017;Ross, Greenhill, & Atkinson, 2013;Shennan, Crema, & Kerig, 2015). 1 In this case, quantitative variables reported in Table 2 were not taken into account.…”
Section: Methodsmentioning
confidence: 99%