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Language dynamics model with finite-range interactions influencing the diffusion of linguistic traits and human dispersal

  • Regular Article - Statistical and Nonlinear Physics
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Abstract

We study a multi-agent model of language dynamics that incorporates diffusion of linguistic traits and human dispersal, both influenced by local linguistic environment. We assume that each individual is characterized by a string, representing a language in terms of a set of linguistic features. Each individual can interact only with other individuals located within a finite neighborhood. The interaction between two individuals results in copying or passing a linguistic trait; the direction of the learning process is determined by the level of linguistic similarity with the neighborhood, estimated through the average Levenshtein distance. The latter determines also the diffusion coefficient of the random walk performed by the individuals. The dynamics of the model is investigated through numerical simulations over a wide range of parameters. Our results show a rich variety of possible final scenarios, ranging from language segregation and dialects formation to linguistic continua and consensus. The obtained language size distribution, spatial distribution of languages, and the correlation between geographic and linguistic distance at equilibrium resemble well the results observed in real systems.

Graphical abstract

The model dynamics incorporates diffusion of linguistic traits and human dispersal, both influenced by the local linguistic environment, in the spirit of the Axelrod and Shelling model, respectively. The system can reach different final scenarios ranging from consensus to fragmentation, like the equilibrium configuration shown that shows self-organized clusters: different symbols correspond to different languages (strings in the dendrogram) and each color represents a different dialect defined by the group emerging from the clustering analysis

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Funding

The authors acknowledge support from the Estonian Research Council through Grant PRG1059.

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Authors and Affiliations

  1. National Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618, Tallinn, Estonia

    Clément Zankoc, Els Heinsalu & Marco Patriarca

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  1. Clément Zankoc
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  2. Els Heinsalu
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  3. Marco Patriarca
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Correspondence to Els Heinsalu.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Zankoc, C., Heinsalu, E. & Patriarca, M. Language dynamics model with finite-range interactions influencing the diffusion of linguistic traits and human dispersal. Eur. Phys. J. B 97, 66 (2024). https://doi.org/10.1140/epjb/s10051-024-00706-3

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  • DOI: https://doi.org/10.1140/epjb/s10051-024-00706-3

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