Work

Linguistic evolution driven by network heterogeneity and the Turing mechanism

Year: 2021

Type: article

Abstract: The authors develop a framework combining spatial networks, pattern formation and heterogeneities in how populations perceive languages to reproduce linguistic co-existence in two independent European regions.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.3.023241

Authors: Sayat Mimar, Mariamo Mussa Juane, Jorge Mira, Juyong Park, Alberto P. Muñuzuri, Gourab Ghoshal

Institutions: University of Rochester, Universidade de Santiago de Compostela, Korea Advanced Institute of Science and Technology

Language: English

Topic: Language and cultural evolution

Subfield: Cultural Studies

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funders: National Research Foundation, Ministry of Education, Ministerio de Economía y Competitividad, National Research Foundation of Korea, Xunta de Galicia, European Regional Development Fund, Agencia Estatal de Investigación, Army Research Office

Awards: G1261477826, G1498483194, G2666723697, G2883734111, G3890992804, G4242442116, G4340084337, G4456702486, G4881270315, G6298273575, G6702118958, G705662130, G7363210522, G7452299184, G75268663, G7591771016, G7608552353, G7870489490, G8580125578

OpenAlex ID: W3033772463

FWCI: 8.105

Cites: 46

Cited by: 10

Related to: 10